Data Mining And Decision Support

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Data Mining and Decision Support

Author : Dunja Mladenic
Publisher : Springer Science & Business Media
ISBN 13 : 1461502861
Total Pages : 284 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Data Mining and Decision Support by : Dunja Mladenic

Download or read book Data Mining and Decision Support written by Dunja Mladenic and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help decision-makers solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses. Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting.

Data Mining and Decision Support

Author : Dunja Mladenic
Publisher : Springer Science & Business Media
ISBN 13 : 9781402073885
Total Pages : 312 pages
Book Rating : 4.0/5 (738 download)

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Book Synopsis Data Mining and Decision Support by : Dunja Mladenic

Download or read book Data Mining and Decision Support written by Dunja Mladenic and published by Springer Science & Business Media. This book was released on 2003-09-30 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help decision-makers solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses. Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting.

Data Mining and Decision Support

Author : Dunja Mladenic
Publisher : Springer
ISBN 13 : 9781461350040
Total Pages : 0 pages
Book Rating : 4.3/5 (5 download)

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Book Synopsis Data Mining and Decision Support by : Dunja Mladenic

Download or read book Data Mining and Decision Support written by Dunja Mladenic and published by Springer. This book was released on 2012-11-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help decision-makers solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses. Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting.

Data Mining and Statistics for Decision Making

Author : Stéphane Tufféry
Publisher : John Wiley & Sons
ISBN 13 : 0470979283
Total Pages : 748 pages
Book Rating : 4.4/5 (79 download)

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Book Synopsis Data Mining and Statistics for Decision Making by : Stéphane Tufféry

Download or read book Data Mining and Statistics for Decision Making written by Stéphane Tufféry and published by John Wiley & Sons. This book was released on 2011-03-23 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives. This book looks at both classical and recent techniques of data mining, such as clustering, discriminant analysis, logistic regression, generalized linear models, regularized regression, PLS regression, decision trees, neural networks, support vector machines, Vapnik theory, naive Bayesian classifier, ensemble learning and detection of association rules. They are discussed along with illustrative examples throughout the book to explain the theory of these methods, as well as their strengths and limitations. Key Features: Presents a comprehensive introduction to all techniques used in data mining and statistical learning, from classical to latest techniques. Starts from basic principles up to advanced concepts. Includes many step-by-step examples with the main software (R, SAS, IBM SPSS) as well as a thorough discussion and comparison of those software. Gives practical tips for data mining implementation to solve real world problems. Looks at a range of tools and applications, such as association rules, web mining and text mining, with a special focus on credit scoring. Supported by an accompanying website hosting datasets and user analysis. Statisticians and business intelligence analysts, students as well as computer science, biology, marketing and financial risk professionals in both commercial and government organizations across all business and industry sectors will benefit from this book.

Business Intelligence

Author : Carlo Vercellis
Publisher : John Wiley & Sons
ISBN 13 : 1119965470
Total Pages : 314 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Business Intelligence by : Carlo Vercellis

Download or read book Business Intelligence written by Carlo Vercellis and published by John Wiley & Sons. This book was released on 2011-08-10 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made. Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence. This book: Combines detailed coverage with a practical guide to the mathematical models and analysis methodologies of business intelligence. Covers all the hot topics such as data warehousing, data mining and its applications, machine learning, classification, supply optimization models, decision support systems, and analytical methods for performance evaluation. Is made accessible to readers through the careful definition and introduction of each concept, followed by the extensive use of examples and numerous real-life case studies. Explains how to utilise mathematical models and analysis models to make effective and good quality business decisions. This book is aimed at postgraduate students following data analysis and data mining courses. Researchers looking for a systematic and broad coverage of topics in operations research and mathematical models for decision-making will find this an invaluable guide.

Real-world Data Mining

Author : Dursun Delen
Publisher : Pearson Education
ISBN 13 : 0133551075
Total Pages : 289 pages
Book Rating : 4.1/5 (335 download)

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Book Synopsis Real-world Data Mining by : Dursun Delen

Download or read book Real-world Data Mining written by Dursun Delen and published by Pearson Education. This book was released on 2015 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: As business becomes increasingly complex and global, decision-makers must act more rapidly and accurately, based on the best available evidence. Modern data mining and analytics is indispensable for doing this. Real-World Data Mining demystifies current best practices, showing how to use data mining and analytics to uncover hidden patterns and correlations, and leverage these to improve all business decision-making. Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, Delen provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: data mining processes, methods, and techniques; the role and management of data; tools and metrics; text and web mining; sentiment analysis; and integration with cutting-edge Big Data approaches. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials.

Processing and Managing Complex Data for Decision Support

Author : Darmont, Jrme
Publisher : IGI Global
ISBN 13 : 1591406579
Total Pages : 433 pages
Book Rating : 4.5/5 (914 download)

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Book Synopsis Processing and Managing Complex Data for Decision Support by : Darmont, Jrme

Download or read book Processing and Managing Complex Data for Decision Support written by Darmont, Jrme and published by IGI Global. This book was released on 2006-03-31 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides an overall view of the emerging field of complex data processing, highlighting the similarities between the different data, issues and approaches"--Provided by publisher.

Data Mining and Machine Learning In Decision Support

Author : M. Sudha
Publisher : Walnut Publication
ISBN 13 : 9388397231
Total Pages : 95 pages
Book Rating : 4.3/5 (883 download)

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Book Synopsis Data Mining and Machine Learning In Decision Support by : M. Sudha

Download or read book Data Mining and Machine Learning In Decision Support written by M. Sudha and published by Walnut Publication. This book was released on 2018-12-17 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Book outline the experimental studies on various inter-disciplinary applications of data mining and machine learning methods in decision support. This book provides an insight on some real world examples with suitable models and the performance of those methods for real life adoption and optimization.

Data Mining Multi-Attribute Decision System. Facilitating Decision Support Through Data Mining Technique by Hierarchical Multi-Attribute Decision Models

Download Data Mining Multi-Attribute Decision System. Facilitating Decision Support Through Data Mining Technique by Hierarchical Multi-Attribute Decision Models PDF Online Free

Author : Pankaj Pathak
Publisher : GRIN Verlag
ISBN 13 : 3346292312
Total Pages : 134 pages
Book Rating : 4.3/5 (462 download)

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Book Synopsis Data Mining Multi-Attribute Decision System. Facilitating Decision Support Through Data Mining Technique by Hierarchical Multi-Attribute Decision Models by : Pankaj Pathak

Download or read book Data Mining Multi-Attribute Decision System. Facilitating Decision Support Through Data Mining Technique by Hierarchical Multi-Attribute Decision Models written by Pankaj Pathak and published by GRIN Verlag. This book was released on 2020-11-09 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doctoral Thesis / Dissertation from the year 2020 in the subject Computer Science - Commercial Information Technology, Symbiosis International University, language: English, abstract: Data mining is coined one of the steps while discovering insights from large amounts of data which may be stored in databases, data warehouses, or in other information repositories. Data mining is now playing a significant role in seeking a decision support to draw higher profits by the modern business world. Various researchers studied the benefits of data mining processes and its adoption by business organizations, but very few of them have discussed the success factors of decision support projects. The Research Hypothesis states the involvement of the decision tree while adopting accuracy of classification and while emphasizing the impact factor or importance of the attributes rather than the information gain. The concept of involvement of impact factor rather than just accuracy can be utilized in developing the new algorithm whose performance improves over the existing algorithms. We proposed a new algorithm which improves accuracy and contributing effectively in decision tree learning. We presented an algorithm that resolves the above stated problem of confliction of class. We have introduced the impact factor and classified impact factor to resolve the conflict situation. We have used data mining technique in facilitating the decision support with improved performance over its existing companion. We have also addressed the unique problem which have not been addressed before. Definitely, the fusion of data mining and decision support can contribute to problem-solving by enabling the vast hidden knowledge from data and knowledge received from experts. We have discussed a lot of work done in the field of decision support and hierarchical multi-attribute decision models. Ample amount of algorithms are available which are used to classify the data in datasets. Most algorithms use the concept of information gain for classification purpose. Some Lacking areas also exist. There is a need for an ideal algorithm for large datasets. There is a need for handling the missing values. There is a need for removing attribute bias towards choosing a random class when a conflict occurs. There is a need for decision support model which takes the advantages of hierarchical multi-attribute classification algorithms.

Data Mining With Decision Trees: Theory And Applications (2nd Edition)

Author : Maimon Oded Z
Publisher : World Scientific
ISBN 13 : 9814590096
Total Pages : 328 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Data Mining With Decision Trees: Theory And Applications (2nd Edition) by : Maimon Oded Z

Download or read book Data Mining With Decision Trees: Theory And Applications (2nd Edition) written by Maimon Oded Z and published by World Scientific. This book was released on 2014-09-03 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced.This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new edition, all chapters have been revised and new topics brought in. New topics include Cost-Sensitive Active Learning, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification Tasks, Privacy Preserving Decision Tree Learning, Lessons Learned from Comparative Studies, and Learning Decision Trees for Big Data. A walk-through guide to existing open-source data mining software is also included in this edition.This book invites readers to explore the many benefits in data mining that decision trees offer:

Web Data Mining and the Development of Knowledge-Based Decision Support Systems

Author : Sreedhar, G.
Publisher : IGI Global
ISBN 13 : 1522518789
Total Pages : 409 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Web Data Mining and the Development of Knowledge-Based Decision Support Systems by : Sreedhar, G.

Download or read book Web Data Mining and the Development of Knowledge-Based Decision Support Systems written by Sreedhar, G. and published by IGI Global. This book was released on 2016-12-21 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Websites are a central part of today’s business world; however, with the vast amount of information that constantly changes and the frequency of required updates, this can come at a high cost to modern businesses. Web Data Mining and the Development of Knowledge-Based Decision Support Systems is a key reference source on decision support systems in view of end user accessibility and identifies methods for extraction and analysis of useful information from web documents. Featuring extensive coverage across a range of relevant perspectives and topics, such as semantic web, machine learning, and expert systems, this book is ideally designed for web developers, internet users, online application developers, researchers, and faculty.

Perception-based Data Mining and Decision Making in Economics and Finance

Author : Ildar Batyrshin
Publisher : Springer Science & Business Media
ISBN 13 : 3540362444
Total Pages : 374 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Perception-based Data Mining and Decision Making in Economics and Finance by : Ildar Batyrshin

Download or read book Perception-based Data Mining and Decision Making in Economics and Finance written by Ildar Batyrshin and published by Springer Science & Business Media. This book was released on 2007-03-15 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary goal of this book is to present to the scientific and management communities a selection of applications using recent Soft Computing (SC) and Computing with Words and Perceptions (CWP) models and techniques meant to solve some economics and financial problems that are of utmost importance. The book starts with a coverage of data mining tools and techniques that may be of use and significance for economic and financial analyses and applications. Notably, fuzzy and natural language based approaches and solutions for a more human consistent dealing with decision support, time series analysis, forecasting, clustering, etc. are discussed. The second part deals with various decision making models, particularly under probabilistic and fuzzy uncertainty, and their applications in solving a wide array of problems including portfolio optimization, option pricing, financial engineering, risk analysis etc. The selected examples could also serve as a starting point or as an opening out, in the SC and CWP techniques application to a wider range of problems in economics and finance.

Decision Support Using Data Mining

Author : Sarabjot S. Anand
Publisher : Trans-Atlantic Publications
ISBN 13 : 9780273632696
Total Pages : 168 pages
Book Rating : 4.6/5 (326 download)

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Book Synopsis Decision Support Using Data Mining by : Sarabjot S. Anand

Download or read book Decision Support Using Data Mining written by Sarabjot S. Anand and published by Trans-Atlantic Publications. This book was released on 1998 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: For senior managers, IT managers and data mining service providers, this text explains what data mining can do for an organization, providing guidelines on how to manage data mining projects.

Decision Support Systems for Business Intelligence

Author : Vicki L. Sauter
Publisher : John Wiley & Sons
ISBN 13 : 1118627237
Total Pages : 482 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Decision Support Systems for Business Intelligence by : Vicki L. Sauter

Download or read book Decision Support Systems for Business Intelligence written by Vicki L. Sauter and published by John Wiley & Sons. This book was released on 2014-08-21 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition "This is the most usable decision support systems text. [i]t is far better than any other text in the field" —Computing Reviews Computer-based systems known as decision support systems (DSS) play a vital role in helping professionals across various fields of practice understand what information is needed, when it is needed, and in what form in order to make smart and valuable business decisions. Providing a unique combination of theory, applications, and technology, Decision Support Systems for Business Intelligence, Second Edition supplies readers with the hands-on approach that is needed to understand the implications of theory to DSS design as well as the skills needed to construct a DSS. This new edition reflects numerous advances in the field as well as the latest related technological developments. By addressing all topics on three levels—general theory, implications for DSS design, and code development—the author presents an integrated analysis of what every DSS designer needs to know. This Second Edition features: Expanded coverage of data mining with new examples Newly added discussion of business intelligence and transnational corporations Discussion of the increased capabilities of databases and the significant growth of user interfaces and models Emphasis on analytics to encourage DSS builders to utilize sufficient modeling support in their systems A thoroughly updated section on data warehousing including architecture, data adjustment, and data scrubbing Explanations and implications of DSS differences across cultures and the challenges associated with transnational systems Each chapter discusses various aspects of DSS that exist in real-world applications, and one main example of a DSS to facilitate car purchases is used throughout the entire book. Screenshots from JavaScript® and Adobe® ColdFusion are presented to demonstrate the use of popular software packages that carry out the discussed techniques, and a related Web site houses all of the book's figures along with demo versions of decision support packages, additional examples, and links to developments in the field. Decision Support Systems for Business Intelligence, Second Edition is an excellent book for courses on information systems, decision support systems, and data mining at the advanced undergraduate and graduate levels. It also serves as a practical reference for professionals working in the fields of business, statistics, engineering, and computer technology.

Data Mining in Biomedical Imaging, Signaling, and Systems

Author : Sumeet Dua
Publisher : CRC Press
ISBN 13 : 1439839395
Total Pages : 434 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Data Mining in Biomedical Imaging, Signaling, and Systems by : Sumeet Dua

Download or read book Data Mining in Biomedical Imaging, Signaling, and Systems written by Sumeet Dua and published by CRC Press. This book was released on 2016-04-19 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining can help pinpoint hidden information in medical data and accurately differentiate pathological from normal data. It can help to extract hidden features from patient groups and disease states and can aid in automated decision making. Data Mining in Biomedical Imaging, Signaling, and Systems provides an in-depth examination of the biomedi

Organizational Data Mining

Author : Hamid R. Nemati
Publisher : IGI Global
ISBN 13 : 1591401356
Total Pages : 371 pages
Book Rating : 4.5/5 (914 download)

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Book Synopsis Organizational Data Mining by : Hamid R. Nemati

Download or read book Organizational Data Mining written by Hamid R. Nemati and published by IGI Global. This book was released on 2004-01-01 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mountains of business data are piling up in organizations every day. These organizations collect data from multiple sources, both internal and external. These sources include legacy systems, customer relationship management and enterprise resource planning applications, online and e-commerce systems, government organizations and business suppliers and partners. A recent study from the University of California at Berkeley found the amount of data organizations collect and store in enterprise databases doubles every year, and slightly more than half of this data will consist of "reference information," which is the kind of information strategic business applications and decision support systems demand (Kestelyn, 2002). Terabyte-sized (1,000 megabytes) databases are commonplace in organizations today, and this enormous growth will make petabyte-sized databases (1,000 terabytes) a reality within the next few years (Whiting, 2002). By 2004 the Gartner Group estimates worldwide data volumes will be 30 times those of 1999, which translates into more data having been produced in the last 30 years than during the previous 5,000 (Wurman, 1989).

Responsible Analytics and Data Mining in Education

Author : Badrul H. Khan
Publisher : Routledge
ISBN 13 : 1351394673
Total Pages : 292 pages
Book Rating : 4.3/5 (513 download)

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Book Synopsis Responsible Analytics and Data Mining in Education by : Badrul H. Khan

Download or read book Responsible Analytics and Data Mining in Education written by Badrul H. Khan and published by Routledge. This book was released on 2018-12-07 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of two Outstanding Book Awards from the Association of Educational Communications and Technology (Culture, Learning, & Technology and Systems Thinking & Change divisions)! Rapid advancements in our ability to collect, process, and analyze massive amounts of data along with the widespread use of online and blended learning platforms have enabled educators at all levels to gain new insights into how people learn. Responsible Analytics and Data Mining in Education addresses the thoughtful and purposeful navigation, evaluation, and implementation of these emerging forms of educational data analysis. Chapter authors from around the world explore how data analytics can be used to improve course and program quality; how the data and its interpretations may inadvertently impact students, faculty, and institutions; the quality and reliability of data, as well as the accuracy of data-based decisions; ethical implications surrounding the collection, distribution, and use of student-generated data; and more. This volume unpacks and explores this complex issue through a systematic framework whose dimensions address the issues that must be considered before implementation of a new initiative or program.