Data Mining And Decision Support

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Data Mining and Decision Support

Dunja Mladenic,Nada Lavrač,Marko Bohanec,Steve Moyle
Data Mining and Decision Support Book PDF

Author : Dunja Mladenic,Nada Lavrač,Marko Bohanec,Steve Moyle
Publisher : Springer Science & Business Media
Page : 284 pages
File Size : 46,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461502869

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Data Mining and Decision Support by Dunja Mladenic,Nada Lavrač,Marko Bohanec,Steve Moyle Pdf

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

Stéphane Tufféry
Data Mining and Statistics for Decision Making Book PDF

Author : Stéphane Tufféry
Publisher : John Wiley & Sons
Page : 748 pages
File Size : 49,6 Mb
Release : 2011-03-23
Category : Mathematics
ISBN : 9780470979280

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Data Mining and Statistics for Decision Making by Stéphane Tufféry Pdf

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.

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

Pankaj Pathak,Parashu Ram Pal
Data Mining Multi Attribute Decision System Facilitating Decision Support Through Data Mining Technique by Hierarchical Multi Attribute Decision Models Book PDF

Author : Pankaj Pathak,Parashu Ram Pal
Publisher : GRIN Verlag
Page : 134 pages
File Size : 43,7 Mb
Release : 2020-11-09
Category : Computers
ISBN : 9783346292315

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Data Mining Multi-Attribute Decision System. Facilitating Decision Support Through Data Mining Technique by Hierarchical Multi-Attribute Decision Models by Pankaj Pathak,Parashu Ram Pal Pdf

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.

Business Intelligence

Carlo Vercellis
Business Intelligence Book PDF

Author : Carlo Vercellis
Publisher : John Wiley & Sons
Page : 314 pages
File Size : 52,7 Mb
Release : 2011-08-10
Category : Mathematics
ISBN : 9781119965473

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Business Intelligence by Carlo Vercellis Pdf

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.

Data Mining and Machine Learning In Decision Support

M. Sudha
Data Mining and Machine Learning In Decision Support Book PDF

Author : M. Sudha
Publisher : Walnut Publication
Page : 95 pages
File Size : 45,5 Mb
Release : 2018-12-17
Category : Computers
ISBN : 9789388397230

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Data Mining and Machine Learning In Decision Support by M. Sudha Pdf

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.

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

Sreedhar, G.
Web Data Mining and the Development of Knowledge Based Decision Support Systems Book PDF

Author : Sreedhar, G.
Publisher : IGI Global
Page : 409 pages
File Size : 54,8 Mb
Release : 2016-12-21
Category : Computers
ISBN : 9781522518785

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

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.

Real-World Data Mining

Dursun Delen
Real World Data Mining Book PDF

Author : Dursun Delen
Publisher : FT Press
Page : 289 pages
File Size : 49,9 Mb
Release : 2014-12-16
Category : Business & Economics
ISBN : 9780133551112

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Real-World Data Mining by Dursun Delen Pdf

Use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization! Real-World Data Mining demystifies current best practices, showing how to use data mining to uncover hidden patterns and correlations, and leverage these to improve all aspects of business performance. 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, he provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: processes, methods, techniques, tools, and metrics; the role and management of data; text and web mining; sentiment analysis; and Big Data integration. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials. Real-World Data Mining will be valuable to professionals on analytics teams; professionals seeking certification in the field; and undergraduate or graduate students in any analytics program: concentrations, certificate-based, or degree-based.

Decision Support Systems for Business Intelligence

Vicki L. Sauter
Decision Support Systems for Business Intelligence Book PDF

Author : Vicki L. Sauter
Publisher : John Wiley & Sons
Page : 482 pages
File Size : 55,7 Mb
Release : 2014-08-21
Category : Business & Economics
ISBN : 9781118627235

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Decision Support Systems for Business Intelligence by Vicki L. Sauter Pdf

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.

Processing and Managing Complex Data for Decision Support

Darmont, J‚r“me,Boussaid, Omar
Processing and Managing Complex Data for Decision Support Book PDF

Author : Darmont, J‚r“me,Boussaid, Omar
Publisher : IGI Global
Page : 433 pages
File Size : 41,5 Mb
Release : 2006-03-31
Category : Computers
ISBN : 9781591406570

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Processing and Managing Complex Data for Decision Support by Darmont, J‚r“me,Boussaid, Omar Pdf

"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.

Decision Support Using Data Mining

Sarabjot S. Anand,Alex G. Büchner
Decision Support Using Data Mining Book PDF

Author : Sarabjot S. Anand,Alex G. Büchner
Publisher : Trans-Atlantic Publications
Page : 168 pages
File Size : 48,6 Mb
Release : 1998
Category : Data mining
ISBN : 0273632698

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Decision Support Using Data Mining by Sarabjot S. Anand,Alex G. Büchner Pdf

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

Chiang Jao
Decision Support Systems Book PDF

Author : Chiang Jao
Publisher : BoD – Books on Demand
Page : 424 pages
File Size : 43,7 Mb
Release : 2010-01-01
Category : Computers
ISBN : 9789537619640

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Decision Support Systems by Chiang Jao Pdf

Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications. DSS architecture contains three key components: knowledge base, computerized model, and user interface. DSS simulate cognitive decision-making functions of humans based on artificial intelligence methodologies (including expert systems, data mining, machine learning, connectionism, logistical reasoning, etc.) in order to perform decision support functions. The applications of DSS cover many domains, ranging from aviation monitoring, transportation safety, clinical diagnosis, weather forecast, business management to internet search strategy. By combining knowledge bases with inference rules, DSS are able to provide suggestions to end users to improve decisions and outcomes. This book is written as a textbook so that it can be used in formal courses examining decision support systems. It may be used by both undergraduate and graduate students from diverse computer-related fields. It will also be of value to established professionals as a text for self-study or for reference.

Customer and Business Analytics

Daniel S. Putler,Robert E. Krider
Customer and Business Analytics Book PDF

Author : Daniel S. Putler,Robert E. Krider
Publisher : CRC Press
Page : 315 pages
File Size : 49,9 Mb
Release : 2015-09-15
Category : Business & Economics
ISBN : 9781498759700

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Customer and Business Analytics by Daniel S. Putler,Robert E. Krider Pdf

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the text is ideal for students in customer and business analytics or applied data mining as well as professionals in small- to medium-sized organizations. The book offers an intuitive understanding of how different analytics algorithms work. Where necessary, the authors explain the underlying mathematics in an accessible manner. Each technique presented includes a detailed tutorial that enables hands-on experience with real data. The authors also discuss issues often encountered in applied data mining projects and present the CRISP-DM process model as a practical framework for organizing these projects. Showing how data mining can improve the performance of organizations, this book and its R-based software provide the skills and tools needed to successfully develop advanced analytics capabilities.

Data Mining and Decision Support

Dunja Mladenic
Data Mining and Decision Support Book PDF

Author : Dunja Mladenic
Publisher : Springer Science & Business Media
Page : 312 pages
File Size : 48,7 Mb
Release : 2003-09-30
Category : Computers
ISBN : 1402073887

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Data Mining and Decision Support by Dunja Mladenic Pdf

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.

Responsible Analytics and Data Mining in Education

Badrul H. Khan,Joseph Rene Corbeil,Maria Elena Corbeil
Responsible Analytics and Data Mining in Education Book PDF

Author : Badrul H. Khan,Joseph Rene Corbeil,Maria Elena Corbeil
Publisher : Routledge
Page : 292 pages
File Size : 48,8 Mb
Release : 2018-12-07
Category : Computers
ISBN : 9781351394673

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Responsible Analytics and Data Mining in Education by Badrul H. Khan,Joseph Rene Corbeil,Maria Elena Corbeil Pdf

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.

Data Driven Decision Making using Analytics

Parul Gandhi,Surbhi Bhatia,Kapal Dev
Data Driven Decision Making using Analytics Book PDF

Author : Parul Gandhi,Surbhi Bhatia,Kapal Dev
Publisher : CRC Press
Page : 150 pages
File Size : 44,8 Mb
Release : 2021-12-21
Category : Computers
ISBN : 9781000506433

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Data Driven Decision Making using Analytics by Parul Gandhi,Surbhi Bhatia,Kapal Dev Pdf

This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining. Features: Covers descriptive statistics with respect to predictive analytics and business analytics. Discusses different data analytics platforms for real-time applications. Explain SMART business models. Includes algorithms in data sciences alongwith automated methods and models. Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics. This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.