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Decision support system

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379:(EIS), group decision support systems (GDSS), and organizational decision support systems (ODSS) evolved from the single user and model-oriented DSS. According to Sol (1987), the definition and scope of DSS have been migrating over the years: in the 1970s DSS was described as "a computer-based system to aid decision making"; in the late 1970s the DSS movement started focusing on "interactive computer-based systems which help decision-makers utilize data bases and models to solve ill-structured problems"; in the 1980s DSS should provide systems "using suitable and available technology to improve effectiveness of managerial and professional activities", and towards the end of 1980s DSS faced a new challenge towards the design of intelligent workstations. 562: 33: 514:
of single or multiple management objectives related to the provision of goods and services that are traded or non-traded and often subject to resource constraints and decision problems. The Community of Practice of Forest Management Decision Support Systems provides a large repository on knowledge about the construction and use of forest Decision Support Systems.
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to take strategic decisions. For example, one of the DSS applications is the management and development of complex anti-terrorism systems. Other examples include a bank loan officer verifying the credit of a loan applicant or an engineering firm that has bids on several projects and wants to know if they can be competitive with their costs.
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and other business performance software allow faster decision making, identification of negative trends, and better allocation of business resources. Due to DSS, all the information from any organization is represented in the form of charts, graphs i.e. in a summarized way, which helps the management
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Holsapple and Whinston classify DSS into the following six frameworks: text-oriented DSS, database-oriented DSS, spreadsheet-oriented DSS, solver-oriented DSS, rule-oriented DSS, and compound DSS. A compound DSS is the most popular classification for a DSS; it is a hybrid system that includes two or
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where the long planning horizon and the spatial dimension of planning problems demand specific requirements. All aspects of Forest management, from log transportation, harvest scheduling to sustainability and ecosystem protection have been addressed by modern DSSs. In this context, the consideration
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allows for an iterative process between human and system towards the achievement of a consolidated solution: the decision maker (or its advisor) can modify, complete, or refine the decision suggestions provided by the system, before sending them back to the system for validation, and likewise the
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DSS has been used for risk assessment to interpret monitoring data from large engineering structures such as dams, towers, cathedrals, or masonry buildings. For instance, Mistral is an expert system to monitor dam safety, developed in the 1990s by Ismes (Italy). It gets data from an automatic
475:. There are four stages in the evolution of clinical decision support system (CDSS): the primitive version is standalone and does not support integration; the second generation supports integration with other medical systems; the third is standard-based, and the fourth is service model-based. 248:
activities. DSSs serve the management, operations and planning levels of an organization (usually mid and higher management) and help people make decisions about problems that may be rapidly changing and not easily specified in advance—i.e., unstructured and semi-structured decision problems.
325:. A properly designed DSS is an interactive software-based system intended to help decision makers compile useful information from a combination of raw data, documents, personal knowledge, and/or business models to identify and solve problems and make decisions. 1762:
Ender, Gabriela; E-Book (2005–2011) about the OpenSpace-Online Real-Time Methodology: Knowledge-sharing, problem solving, results-oriented group dialogs about topics that matter with extensive conference documentation in real-time. Download
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Diasio, S., Agell, N. (2009) "The evolution of expertise in decision support technologies: A challenge for organizations," cscwd, pp. 692–697, 13th International Conference on Computer Supported Cooperative Work in Design, 2009.
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An iterative developmental approach allows for the DSS to be changed and redesigned at various intervals. Once the system is designed, it will need to be tested and revised where necessary for the desired outcome.
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Stephens, W. and Middleton, T. (2002). Why has the uptake of Decision Support Systems been so poor? In: Crop-soil simulation models in developing countries. 129-148 (Eds R.B. Matthews and William Stephens).
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The actual application that will be used by the user. This is the part of the application that allows the decision maker to make decisions in a particular problem area. The user can act upon that particular
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during the late 1950s and early 1960s, and the implementation work done in the 1960s. DSS became an area of research of its own in the middle of the 1970s, before gaining in intensity during the 1980s.
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Keen, Peter (1980). "Decision support systems : a research perspective". Cambridge, Massachusetts : Center for Information Systems Research, Alfred P. Sloan School of Management.
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model. Model-driven DSS use data and parameters provided by users to assist decision makers in analyzing a situation; they are not necessarily data-intensive. Dicodess is an example of an
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during the 1980s and 1990s, has allowed rapid assessment of several agricultural production systems around the world to facilitate decision-making at the farm and policy levels.
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Generator contains Hardware/software environment that allows people to easily develop specific DSS applications. This level makes use of case tools or systems such as Crystal,
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per year. Under a DSS, the Canadian National Railway system managed to decrease the incidence of derailments at the same time other companies were experiencing an increase.
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system (for military and business decision making) were decision support systems which also were major breakthroughs in user interface research. Furthermore, although
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Expert systems and artificial intelligence in decision support systems: proceedings of the Second Mini Euroconference, Lunteren, The Netherlands, 17–20 November 1985
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Reich, Yoram; Kapeliuk, Adi (2005). "A framework for organizing the space of decision problems with application to solving subjective, context-dependent problems".
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has been successfully used since the '90s in conjunction with DSS, to show on a map real-time risk evaluations based on monitoring data gathered in the area of the
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Haag, Cummings, ㅊㄮㅋMcCubbrey, Pinsonneault, Donovan (2000). Management Informatㅍㅈion Systems: For The Information Age. McGraw-Hill Ryerson Limited: 136-140.
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There are several ways to classify DSS applications. Not every DSS fits neatly into one of the categories, but may be a mix of two or more architectures.
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seeks to tailor decisions to particular portions of farm fields. There are, however, many constraints to the successful adoption of DSS in agriculture.
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The support given by DSS can be separated into three distinct, interrelated categories: Personal Support, Group Support, and Organizational Support.
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Similarly to other systems, DSS systems require a structured approach. Such a framework includes people, technology, and the development approach.
1184:"An evolutionary real options framework for the design and management of projects and systems with complex real options and exercising conditions" 390:. This decision support system is credited with significantly reducing travel delays by aiding the management of ground operations at various 219: 1764: 1706: 414:(OLAP) began broadening the realm of DSS. As the turn of the millennium approached, new Web-based analytical applications were introduced. 542: 429: 1236: 953: 116: 1831: 1803:
Jintrawet, Attachai (1995). "A Decision Support System for Rapid Assessment of Lowland Rice-based Cropping Alternatives in Thailand".
256:, DSS users see DSS as a tool to facilitate organizational processes. Some authors have extended the definition of DSS to include any 1938: 675:
enables cooperation, supporting more than one person working on a shared task; examples include integrated tools like Google Docs or
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Gomes da Silva, Carlos; Clímaco, João; Figueira, José (2006). "A scatter search method for bi-criteria {0,1}-knapsack problems".
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system again improves, completes, and refines the suggestions of the decision maker and sends them back to them for validation.
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Tools include lower level hardware/software. DSS generators including special languages, function libraries and linking modules
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is a system that aids the process of decision making, but that cannot bring out explicit decision suggestions or solutions. An
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Holsapple, C.W., and A. B. Whinston. (1996). Decision Support Systems: A Knowledge-Based Approach. St. Paul: West Publishing.
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Sprague, R. H. and E. D. Carlson (1982). Building effective decision support systems. Englewood Cㄮliffs, N.J., Prentice-Hall.
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The concept of decision support has evolved mainly from the theoretical studies of organizational decision making done at the
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Intelligent decision support system for including consumers' preferences in residential energy consumption in smart grid
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Marakas, G. M. (1999). Decision support systems in the twenty-first century. Upper Saddle River, N.J., Prentice Hall.
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https://web.archive.org/web/20121009235747/http://www.computer.org/portal/web/csdl/doi/10.1109/CSCWD.2009.4968139
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Silver, M. (1991). Systems that support decision makers: description and analysis. Chichester; New York, Wiley.
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Another taxonomy for DSS, according to the mode of assistance, has been created by D. Power: he differentiates
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design. Examples of this can be seen in the intense amount of discussion of DSS in the education environment.
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Dam (Italy), is still operational 24/7/365. It has been installed on several dams in Italy and abroad (e.g.,
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monitoring system and performs a diagnosis of the state of the dam. Its first copy, installed in 1992 on the
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system, which tests its equipment on a regular basis using a decision support system. A problem faced by any
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The advent of more and better reporting technologies has seen DSS start to emerge as a critical component of
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Omid A.Sianaki, O Hussain, T Dillon, AR Tabesh – ... Intelligence, Modelling and Simulation (CIMSiM), 2010,
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Power, D. J. (1996). What is a DSS? The On-Line Executive Journal for Data-Intensive Decision Support 1(3).
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DSS specifically focuses on features which make them easy to use by non-computer-proficient people in an
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https://web.archive.org/web/20070103022920/http://www.openspace-online.com/OpenSpace-Online_eBook_en.pdf
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package, The Decision Support System for Agrotechnology Transfer developed through financial support of
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Decision support systems can be either fully computerized or human-powered, or a combination of both.
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Papadopoulos, A.P.; Shipp, J.L; Jarvis, William R.; Jewett, Thomas J.; Clarke, N.D. (1 July 1995).
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treats the decision itself as an engineered object, and applies engineering principles such as
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in Brazil), and on monuments under the name of Kaleidos. Mistral is a registered trade mark of
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Typical information that a decision support application might gather and present includes:
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Borges, J.G, Nordström, E.-M. Garcia Gonzalo, J. Hujala, T. Trasobares, A. (eds). (2014).
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expertise stored as facts, rules, procedures or in similar structures like interactive
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Using the relationship with the user as the criterion, Haettenschwiler differentiates
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Get in the Groove: Building Tools and Peer-to-Peer Solutions with the Groove Platform
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emphasizes access to and manipulation of a statistical, financial, optimization, or
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Information systems supporting business or organizational decision-making activities
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DSS attempts to combine the use of models or analytic techniques with traditional
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Lancini, Stefano; Lazzari, Marco; Masera, Alberto; Salvaneschi, Paolo (1997).
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is linked to large data warehouses and serves many managers in the company. A
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A growing area of DSS application, concepts, principles, and techniques is in
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An Approach to the Intelligent Decision Advisor (IDA) for Emergency Managers
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Organizational Strategies for Personal Computing in Decision Support Systems
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DSS can theoretically be built in any knowledge domain. One example is the
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Web-based and model-driven decision support systems: concepts and issues
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The Early Framework of Decision Support System consists of four phases:
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to an explicit representation of the elements that make up a decision.
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completed development of the Gate Assignment Display System (GADS) for
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component; Sprague (1980) defines a properly termed DSS as follows:
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Community of Practice Forest Management Decision Support Systems,
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DSS tends to be aimed at the less well structured, underspecified
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Neues anwenderfreundliches Konzept der EntscheidungsunterstĂŒtzung
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is worn-out or defective rails, which can result in hundreds of
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DSS technology levels (of hardware and software) may include:
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themselves are also important components of the architecture.
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Jiménez, Antonio; Ríos-Insua, Sixto; Mateos, Alfonso (2006).
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Handbook on Decision Support Systems. Berlin: Springer Verlag
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Decision support systems: concepts and resources for managers
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system (for medical decision making) and the Carnegie Mellon
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Decision support systems : putting theory into practice
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Building Model-Driven Decision Support Systems with Dicodess
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A Framework for the Development of Decision Support Systems
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is a small system that runs on an individual manager's PC.
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Hackathorn, R. D., and P. G. W. Keen. (1981, September). "
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comparative sales figures between one period and the next,
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Salvaneschi, Paolo; Cadei, Mauro; Lazzari, Marco (1996).
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can bring out such decision suggestions or solutions. A
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inventories of information assets (including legacy and
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While academics have perceived DSS as a tool to support
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Efraim Turban; Jay E. Aronson; Ting-Peng Liang (2008).
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Decision support systems: an organizational perspective
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of internal company data and, sometimes, external data.
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DSS is extensively used in business and management.
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Intelligent support systems for marketing decisions
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Decision Support Systems – A Bibliography 1947-2007
1551: 1413:"Diagnosing Ancient Monuments with Expert Software" 1301:"Official Home of the DSSAT Cropping Systems Model" 735:Using scope as the criterion, Power differentiates 1444: 1175: 840:: Factors, numbers, and characteristics to analyze 769:– Searching for conditions that call for decision; 1571:"Decision Support Systems (DSS) Articles On-Line" 2431: 1116:Decision Support Systems and Intelligent Systems 1705:Delic, K.A., Douillet, L. and Dayal, U. (2001) 1128: 444:researchers have generally been concerned with 596:(i.e., the decision context and user criteria) 2411:Data warehousing products and their producers 1959: 1932: 1843: 1505: 1503: 1501: 213: 1181: 846:Inputs requiring manual analysis by the user 1772:"A generic multi-attribute analysis system" 1060: 1013: 866:decision-making functions and are based on 781:– Selecting a course of action among those; 354:projected revenue figures based on product 2232: 1939: 1925: 1624: 1498: 1237:American Society for Horticultural Science 1070:. Reading, Mass., Addison-Wesley Pub. Co. 1057:." MIS Quarterly. Vol. 4, No. 4, pp. 1–25. 1047: 954:List of concept- and mind-mapping software 220: 206: 1802: 1293: 1244: 1158: 754: 244:that supports business or organizational 36:Example of a decision support system for 1893:. Englewood Cliffs, N.J: Prentice-Hall. 1823:Matsatsinis, N.F. and Y. Siskos (2002), 1736:European Journal of Operational Research 1583: 959:Morphological analysis (problem-solving) 560: 31: 1888: 1085: 1083: 949:Land allocation decision support system 417:DSS also have a weak connection to the 14: 2432: 573:Three fundamental components of a DSS 2347: 2231: 1958: 1920: 1672:F. Burstein; C. W. Holsapple (2008). 1445:Lazzari, M.; Salvaneschi, P. (1999). 833:DSS components may be classified as: 406:, Colorado. Beginning in about 1990, 194:ACM Conference on Recommender Systems 1420:Structural Engineering International 1080: 876:intelligent decision support systems 697:manages, retrieves, and manipulates 1946: 1776:Computers & Operations Research 1691:Marius Cioca, Florin Filip (2015). 1387:"Integrated approach to dam safety" 827:more of the five basic structures. 701:in a variety of electronic formats. 24: 2296:MultiDimensional eXpressions (MDX) 1684: 1384: 569:mitigation decision support system 25: 2471: 1182:Zhang, S.X.; Babovic, V. (2011). 1139:Journal of Biomedical Informatics 909:Cognitive assets (organizational) 818: 112:Item-item collaborative filtering 1662:." MIS Quarterly, Vol. 5, No. 3. 1607:– via ACM Digital Library. 1513:. Westport, Conn., Quorum Books. 517:A specific example concerns the 469:clinical decision support system 369:Carnegie Institute of Technology 1665: 1652: 1611: 1577: 1563: 1535: 1438: 1404: 1378: 1340: 1328: 1318: 989:Spatial decision support system 969:Participation (decision making) 462: 448:, certain researchers, notably 2317:Business intelligence software 2196:Extract, load, transform (ELT) 2191:Extract, transform, load (ETL) 1391:ComitĂȘ Brasileiro de Barragens 1261: 1122: 1107: 1007: 919:Enterprise decision management 677:Microsoft SharePoint Workspace 375:In the middle and late 1980s, 309:to accommodate changes in the 13: 1: 2265:Decision support system (DSS) 1827:, Kluwer Academic Publishers. 1782:(4). Elsevier BV: 1081–1101. 1719:Gadomski, A.M. et al.(2001) " 1385:Masera, Alberto; et al. 1000: 844:User knowledge and expertise: 614: 556: 412:on-line analytical processing 377:executive information systems 2291:Data Mining Extensions (DMX) 1817:10.1016/0308-521X(94)P4414-W 1491:Haettenschwiler, P. (1999). 862:DSSs which perform selected 396:O'Hare International Airport 7: 2348: 2052:Ensemble modeling patterns 2022:Single version of the truth 1742:(2). Elsevier BV: 373–391. 994:Strategic planning software 979:Project management software 896: 143:Collaborative search engine 10: 2476: 2406:Comparison of OLAP servers 1748:10.1016/j.ejor.2004.08.005 1432:10.2749/101686697780494392 1246:10.21273/HORTSCI.30.4.846F 362: 148:Content discovery platform 2398: 2358: 2354: 2343: 2309: 2283: 2275:Data warehouse automation 2242: 2238: 2227: 2183: 2157: 2131: 2096: 2030: 1969: 1965: 1960:Creating a data warehouse 1954: 1858:10.1016/j.dss.2004.05.001 1788:10.1016/j.cor.2004.09.003 1336:http://www.forestdss.org/ 1200:10.1016/j.dss.2010.12.001 1151:10.1016/j.jbi.2008.03.009 519:Canadian National Railway 509:DSS is also prevalent in 402:and Stapleton Airport in 254:decision making processes 2455:Decision-making software 2445:Decision support systems 1852:(1). Elsevier BV: 1–19. 1846:Decision Support Systems 1188:Decision Support Systems 874:technologies are called 749:desktop, single-user DSS 699:unstructured information 673:communication-driven DSS 649:communication-driven DSS 266:decision-making software 107:Implicit data collection 102:Dimensionality reduction 18:Decision support systems 2301:XML for Analysis (XMLA) 1889:Sprague, Ralph (1986). 1584:Stanhope, Phil (2002). 1466:10.1023/A:1008187024768 1066:Keen, P. G. W. (1978). 868:artificial intelligence 492:sustainable development 488:agricultural production 323:knowledge-based systems 264:and some DSS include a 234:decision support system 153:Decision support system 97:Collaborative filtering 61:Collective intelligence 2233:Using a data warehouse 2088:Operational data store 1035:Cite journal requires 755:Development frameworks 731:-driven DSS generator. 570: 122:Preference elicitation 84:Methods and challenges 40: 2450:Knowledge engineering 2250:Business intelligence 1836:Power, D. J. (2000). 1509:Power, D. J. (2002). 984:Self-service software 929:Information assurance 881:The nascent field of 708:provides specialized 564: 504:Precision agriculture 427:University of Vermont 317:approach of the user. 35: 2066:Focal point modeling 2038:Column-oriented DBMS 1987:Dimensional modeling 1805:Agricultural Systems 1726:5 March 2016 at the 1281:on 27 September 2007 1053:Sprague, R;(1980). " 974:Predictive analytics 939:Judge–advisor system 934:Integrative thinking 883:decision engineering 706:knowledge-driven DSS 661:knowledge-driven DSS 446:information overload 158:Music Genome Project 117:Matrix factorization 2440:Information systems 2371:Information factory 2144:Early-arriving fact 2061:Data vault modeling 2012:Reverse star schema 1617:Gachet, A. (2004). 964:Online deliberation 745:enterprise-wide DSS 737:enterprise-wide DSS 695:document-driven DSS 657:document-driven DSS 480:Executive dashboard 260:that might support 47:Recommender systems 2322:Reporting software 1096:. Springer, 1987. 872:intelligent agents 571: 242:information system 179:GroupLens Research 41: 38:John Day Reservoir 2460:Business software 2427: 2426: 2423: 2422: 2419: 2418: 2339: 2338: 2335: 2334: 2223: 2222: 2219: 2218: 2118:Sixth normal form 1900:978-0-13-197286-5 1365:10.1109/64.511774 1325:Wallingford:CABI. 891:quality assurance 729:open-source model 551:Val Pola disaster 511:forest management 473:medical diagnosis 450:Douglas Engelbart 394:, beginning with 384:Texas Instruments 356:sales assumptions 276:that upper level 230: 229: 127:Similarity search 16:(Redirected from 2467: 2356: 2355: 2345: 2344: 2240: 2239: 2229: 2228: 2007:Snowflake schema 1967: 1966: 1956: 1955: 1941: 1934: 1927: 1918: 1917: 1912: 1869: 1820: 1799: 1759: 1678: 1677: 1669: 1663: 1656: 1650: 1640: 1631: 1628: 1622: 1615: 1609: 1608: 1606: 1604: 1581: 1575: 1574: 1567: 1561: 1558: 1549: 1539: 1533: 1523: 1514: 1507: 1496: 1489: 1478: 1477: 1460:(2–3): 185–195. 1451: 1442: 1436: 1435: 1417: 1408: 1402: 1401: 1399: 1397: 1382: 1376: 1375: 1373: 1371: 1344: 1338: 1332: 1326: 1322: 1316: 1315: 1313: 1311: 1297: 1291: 1290: 1288: 1286: 1280: 1274:. Archived from 1273: 1265: 1259: 1258: 1248: 1218: 1212: 1211: 1179: 1173: 1172: 1162: 1126: 1120: 1119: 1111: 1105: 1087: 1078: 1064: 1058: 1051: 1045: 1044: 1038: 1033: 1031: 1023: 1011: 944:Knapsack problem 721:model-driven DSS 665:model-driven DSS 490:, marketing for 408:data warehousing 222: 215: 208: 43: 42: 21: 2475: 2474: 2470: 2469: 2468: 2466: 2465: 2464: 2430: 2429: 2428: 2415: 2394: 2350: 2331: 2305: 2279: 2234: 2215: 2179: 2175:Slowly changing 2165:Dimension table 2153: 2127: 2104:Data dictionary 2092: 2056:Anchor modeling 2026: 1961: 1950: 1948:Data warehouses 1945: 1915: 1901: 1728:Wayback Machine 1687: 1685:Further reading 1682: 1681: 1670: 1666: 1657: 1653: 1641: 1634: 1629: 1625: 1616: 1612: 1602: 1600: 1598: 1582: 1578: 1569: 1568: 1564: 1559: 1552: 1540: 1536: 1524: 1517: 1508: 1499: 1490: 1481: 1454:Natural Hazards 1449: 1443: 1439: 1415: 1409: 1405: 1395: 1393: 1383: 1379: 1369: 1367: 1345: 1341: 1333: 1329: 1323: 1319: 1309: 1307: 1299: 1298: 1294: 1284: 1282: 1278: 1271: 1267: 1266: 1262: 1219: 1215: 1180: 1176: 1127: 1123: 1112: 1108: 1092:et al. (1987). 1088: 1081: 1065: 1061: 1052: 1048: 1036: 1034: 1025: 1024: 1012: 1008: 1003: 998: 914:Decision theory 899: 821: 757: 716:and flowcharts. 710:problem-solving 684:data-driven DSS 653:data-driven DSS 641:cooperative DSS 629:cooperative DSS 617: 559: 465: 388:United Airlines 365: 342:data warehouses 334:relational data 315:decision making 301:DSS emphasizes 280:typically face; 262:decision making 246:decision-making 226: 135:Implementations 28: 23: 22: 15: 12: 11: 5: 2473: 2463: 2462: 2457: 2452: 2447: 2442: 2425: 2424: 2421: 2420: 2417: 2416: 2414: 2413: 2408: 2402: 2400: 2396: 2395: 2393: 2392: 2387: 2386: 2385: 2383:Enterprise bus 2375: 2374: 2373: 2362: 2360: 2352: 2351: 2341: 2340: 2337: 2336: 2333: 2332: 2330: 2329: 2324: 2319: 2313: 2311: 2307: 2306: 2304: 2303: 2298: 2293: 2287: 2285: 2281: 2280: 2278: 2277: 2272: 2267: 2262: 2257: 2252: 2246: 2244: 2236: 2235: 2225: 2224: 2221: 2220: 2217: 2216: 2214: 2213: 2208: 2203: 2198: 2193: 2187: 2185: 2181: 2180: 2178: 2177: 2172: 2167: 2161: 2159: 2155: 2154: 2152: 2151: 2146: 2141: 2135: 2133: 2129: 2128: 2126: 2125: 2120: 2115: 2110: 2100: 2098: 2094: 2093: 2091: 2090: 2085: 2080: 2075: 2070: 2069: 2068: 2063: 2058: 2050: 2045: 2040: 2034: 2032: 2028: 2027: 2025: 2024: 2019: 2014: 2009: 2004: 1999: 1994: 1989: 1984: 1979: 1973: 1971: 1963: 1962: 1952: 1951: 1944: 1943: 1936: 1929: 1921: 1914: 1913: 1899: 1886: 1883: 1881:978-0471173359 1870: 1841: 1834: 1828: 1821: 1811:(2): 245–258. 1800: 1767: 1760: 1731: 1717: 1710: 1703: 1696: 1688: 1686: 1683: 1680: 1679: 1664: 1651: 1632: 1623: 1621:. Zurich, VDF. 1610: 1596: 1576: 1562: 1550: 1534: 1515: 1497: 1479: 1437: 1426:(4): 288–291. 1403: 1377: 1339: 1327: 1317: 1292: 1269:"DSSAT4 (pdf)" 1260: 1213: 1194:(1): 119–129. 1174: 1145:(6): 982–990. 1121: 1118:. p. 574. 1106: 1079: 1059: 1046: 1037:|journal= 1005: 1004: 1002: 999: 997: 996: 991: 986: 981: 976: 971: 966: 961: 956: 951: 946: 941: 936: 931: 926: 921: 916: 911: 906: 900: 898: 895: 860: 859: 853: 847: 841: 820: 819:Classification 817: 812: 811: 808: 797: 789: 788: 785:Implementation 782: 776: 770: 756: 753: 733: 732: 717: 714:decision trees 702: 691: 680: 616: 613: 605: 604: 601:user interface 597: 590: 587:knowledge base 558: 555: 464: 461: 419:user interface 364: 361: 360: 359: 352: 349: 319: 318: 299: 292: 281: 228: 227: 225: 224: 217: 210: 202: 199: 198: 197: 196: 191: 186: 181: 173: 172: 168: 167: 166: 165: 163:Product finder 160: 155: 150: 145: 137: 136: 132: 131: 130: 129: 124: 119: 114: 109: 104: 99: 94: 86: 85: 81: 80: 79: 78: 73: 68: 63: 55: 54: 50: 49: 26: 9: 6: 4: 3: 2: 2472: 2461: 2458: 2456: 2453: 2451: 2448: 2446: 2443: 2441: 2438: 2437: 2435: 2412: 2409: 2407: 2404: 2403: 2401: 2397: 2391: 2388: 2384: 2381: 2380: 2379: 2378:Ralph Kimball 2376: 2372: 2369: 2368: 2367: 2364: 2363: 2361: 2357: 2353: 2346: 2342: 2328: 2325: 2323: 2320: 2318: 2315: 2314: 2312: 2308: 2302: 2299: 2297: 2294: 2292: 2289: 2288: 2286: 2282: 2276: 2273: 2271: 2268: 2266: 2263: 2261: 2258: 2256: 2253: 2251: 2248: 2247: 2245: 2241: 2237: 2230: 2226: 2212: 2209: 2207: 2204: 2202: 2199: 2197: 2194: 2192: 2189: 2188: 2186: 2182: 2176: 2173: 2171: 2168: 2166: 2163: 2162: 2160: 2156: 2150: 2147: 2145: 2142: 2140: 2137: 2136: 2134: 2130: 2124: 2123:Surrogate key 2121: 2119: 2116: 2114: 2111: 2109: 2105: 2102: 2101: 2099: 2095: 2089: 2086: 2084: 2081: 2079: 2076: 2074: 2071: 2067: 2064: 2062: 2059: 2057: 2054: 2053: 2051: 2049: 2046: 2044: 2041: 2039: 2036: 2035: 2033: 2029: 2023: 2020: 2018: 2015: 2013: 2010: 2008: 2005: 2003: 2000: 1998: 1995: 1993: 1990: 1988: 1985: 1983: 1980: 1978: 1975: 1974: 1972: 1968: 1964: 1957: 1953: 1949: 1942: 1937: 1935: 1930: 1928: 1923: 1922: 1919: 1910: 1906: 1902: 1896: 1892: 1887: 1884: 1882: 1878: 1874: 1873:Sauter, V. L. 1871: 1867: 1863: 1859: 1855: 1851: 1847: 1842: 1839: 1835: 1833: 1829: 1826: 1822: 1818: 1814: 1810: 1806: 1801: 1797: 1793: 1789: 1785: 1781: 1777: 1773: 1768: 1766: 1761: 1757: 1753: 1749: 1745: 1741: 1737: 1732: 1729: 1725: 1722: 1718: 1716: 1711: 1708: 1704: 1701: 1697: 1694: 1690: 1689: 1675: 1668: 1661: 1655: 1649: 1648:0-324-03578-0 1645: 1639: 1637: 1627: 1620: 1614: 1599: 1597:9780764548932 1593: 1589: 1588: 1580: 1572: 1566: 1557: 1555: 1548: 1547:0-07-281947-2 1544: 1538: 1532: 1531:0-13-086215-0 1528: 1522: 1520: 1512: 1506: 1504: 1502: 1494: 1488: 1486: 1484: 1475: 1471: 1467: 1463: 1459: 1455: 1448: 1441: 1433: 1429: 1425: 1421: 1414: 1407: 1392: 1388: 1381: 1366: 1362: 1358: 1354: 1350: 1343: 1337: 1331: 1321: 1306: 1302: 1296: 1277: 1270: 1264: 1256: 1252: 1247: 1242: 1238: 1234: 1230: 1229: 1224: 1217: 1209: 1205: 1201: 1197: 1193: 1189: 1185: 1178: 1170: 1166: 1161: 1156: 1152: 1148: 1144: 1140: 1136: 1132: 1125: 1117: 1110: 1103: 1102:90-277-2437-7 1099: 1095: 1091: 1086: 1084: 1077: 1076:0-201-03667-3 1073: 1069: 1063: 1056: 1050: 1042: 1029: 1021: 1017: 1010: 1006: 995: 992: 990: 987: 985: 982: 980: 977: 975: 972: 970: 967: 965: 962: 960: 957: 955: 952: 950: 947: 945: 942: 940: 937: 935: 932: 930: 927: 925: 924:Expert system 922: 920: 917: 915: 912: 910: 907: 905: 902: 901: 894: 892: 888: 884: 879: 877: 873: 869: 865: 857: 854: 851: 848: 845: 842: 839: 836: 835: 834: 831: 828: 824: 816: 809: 806: 802: 798: 794: 793: 792: 786: 783: 780: 777: 774: 771: 768: 765: 764: 763: 760: 752: 750: 746: 742: 738: 730: 726: 722: 718: 715: 711: 707: 703: 700: 696: 692: 689: 685: 681: 678: 674: 670: 669: 668: 666: 662: 658: 654: 650: 645: 642: 638: 634: 630: 626: 622: 612: 610: 602: 598: 595: 591: 588: 584: 580: 579: 578: 576: 568: 563: 554: 552: 548: 544: 540: 536: 530: 528: 524: 520: 515: 512: 507: 505: 501: 497: 493: 489: 484: 481: 476: 474: 470: 460: 458: 453: 451: 447: 443: 439: 435: 431: 428: 424: 420: 415: 413: 409: 405: 401: 397: 393: 389: 385: 380: 378: 373: 370: 357: 353: 350: 347: 343: 339: 335: 331: 330: 329: 326: 324: 321:DSSs include 316: 312: 308: 304: 300: 297: 293: 290: 286: 282: 279: 275: 271: 270: 269: 267: 263: 259: 255: 250: 247: 243: 239: 235: 223: 218: 216: 211: 209: 204: 203: 201: 200: 195: 192: 190: 189:Netflix Prize 187: 185: 182: 180: 177: 176: 175: 174: 170: 169: 164: 161: 159: 156: 154: 151: 149: 146: 144: 141: 140: 139: 138: 134: 133: 128: 125: 123: 120: 118: 115: 113: 110: 108: 105: 103: 100: 98: 95: 93: 90: 89: 88: 87: 83: 82: 77: 74: 72: 69: 67: 64: 62: 59: 58: 57: 56: 52: 51: 48: 45: 44: 39: 34: 30: 19: 2390:Dan Linstedt 2264: 1890: 1849: 1845: 1808: 1804: 1779: 1775: 1739: 1735: 1673: 1667: 1654: 1626: 1613: 1601:. Retrieved 1586: 1579: 1565: 1537: 1457: 1453: 1440: 1423: 1419: 1406: 1394:. Retrieved 1390: 1380: 1368:. Retrieved 1359:(4): 24–34. 1356: 1352: 1342: 1330: 1320: 1308:. Retrieved 1304: 1295: 1283:. Retrieved 1276:the original 1263: 1239:: 846F–847. 1232: 1226: 1216: 1191: 1187: 1177: 1142: 1138: 1124: 1115: 1109: 1093: 1067: 1062: 1049: 1028:cite journal 1020:1721.1/47172 1009: 904:Argument map 880: 861: 855: 849: 843: 837: 832: 829: 825: 822: 813: 790: 784: 778: 772: 767:Intelligence 766: 761: 758: 748: 744: 740: 736: 734: 720: 705: 694: 683: 672: 664: 660: 656: 652: 648: 646: 640: 636: 632: 628: 624: 620: 618: 606: 575:architecture 572: 565:Design of a 531: 516: 508: 485: 477: 466: 463:Applications 454: 425:. Both the 421:paradigm of 416: 381: 374: 366: 327: 320: 307:adaptability 251: 237: 233: 231: 152: 71:Star ratings 29: 2327:Spreadsheet 2260:Data mining 2002:Star schema 1396:16 December 1353:IEEE Expert 1285:29 December 1228:HortScience 1129:Wright, A; 1090:Henk G. Sol 741:desktop DSS 688:time series 633:passive DSS 527:derailments 311:environment 303:flexibility 296:interactive 285:data access 2434:Categories 2366:Bill Inmon 2170:Degenerate 2139:Fact table 1603:30 October 1104:. pp. 1–2. 1001:References 725:simulation 637:active DSS 615:Taxonomies 557:Components 539:Itaipu Dam 457:management 346:data marts 291:functions; 92:Cold start 2284:Languages 2270:OLAP cube 2255:Dashboard 2206:Transform 2158:Dimension 2113:Data mart 2048:Data mesh 2017:Aggregate 1982:Dimension 1866:0167-9236 1796:0305-0548 1756:0377-2217 1590:. Wiley. 1310:19 August 1305:DSSAT.net 1255:0018-5345 1131:Sittig, D 864:cognitive 856:Decisions 801:Analytica 553:(Italy). 535:Ridracoli 442:hypertext 423:hypertext 382:In 1987, 336:sources, 298:mode; and 289:retrieval 184:MovieLens 76:Long tail 66:Relevance 2399:Products 2243:Concepts 2108:Metadata 2097:Elements 2043:Data hub 2031:Variants 1977:Database 1970:Concepts 1909:13123699 1724:Archived 1208:15362734 1169:18462999 1133:(2008). 897:See also 796:problem. 583:database 523:railroad 392:airports 313:and the 278:managers 240:) is an 171:Research 53:Concepts 2349:Related 2201:Extract 2184:Filling 2149:Measure 1474:1746570 1370:5 March 1160:2638589 878:(IDSS) 850:Outputs 621:passive 567:drought 400:Chicago 363:History 274:problem 2359:People 1907:  1897:  1879:  1864:  1794:  1754:  1646:  1594:  1545:  1529:  1472:  1253:  1206:  1167:  1157:  1100:  1074:  887:design 838:Inputs 805:iThink 779:Choice 773:Design 663:, and 627:, and 625:active 496:DSSAT4 430:PROMIS 404:Denver 344:, and 258:system 2310:Tools 2083:ROLAP 2078:MOLAP 2073:HOLAP 1470:S2CID 1450:(PDF) 1416:(PDF) 1279:(PDF) 1272:(PDF) 1235:(4). 1204:S2CID 743:. 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Index

Decision support systems

John Day Reservoir
Recommender systems
Collective intelligence
Relevance
Star ratings
Long tail
Cold start
Collaborative filtering
Dimensionality reduction
Implicit data collection
Item-item collaborative filtering
Matrix factorization
Preference elicitation
Similarity search
Collaborative search engine
Content discovery platform
Decision support system
Music Genome Project
Product finder
GroupLens Research
MovieLens
Netflix Prize
ACM Conference on Recommender Systems
v
t
e
information system
decision-making

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