Optimization Based Data Mining Theory And Applications

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Optimization Based Data Mining: Theory and Applications

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Author by : Yong Shi
Languange Used : English, France, Spanish, Italia and chinese
Page : 316
Isbn : 9780857295040
Identifier : 0857295047
Release : 2011-05-16
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Optimization Based Data Mining Theory And Applications by Yong Shi and you can download with pub, pdf, txt, doc, and more file format with free account. optimization techniques have been widely adopted to implement various data mining algorithms. in addition to well-known support vector machines (svms) (which are based on quadratic programming), different versions of multiple criteria programming (mcp) have been extensively used in data separations. since optimization based data mining methods differ from statistics, decision tree induction, and neural networks, their theoretical inspiration has attracted many researchers who are interested in algorithm development of data mining. optimization based data mining: theory and applications, mainly focuses on mcp and svm especially their recent theoretical progress and real-life applications in various fields. these include finance, web services, bio-informatics and petroleum engineering, which has triggered the interest of practitioners who look for new methods to improve the results of data mining for knowledge discovery. most of the material in this book is directly from the research and application activities that the authors’ research group has conducted over the last ten years. aimed at practitioners and graduates who have a fundamental knowledge in data mining, it demonstrates the basic concepts and foundations on how to use optimization techniques to deal with data mining problems.

Intelligent Knowledge A Study beyond Data Mining

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Author by : Yong Shi
Languange Used : English, France, Spanish, Italia and chinese
Page : 150
Isbn : 3662461935
Identifier : 9783662461938
Release : 2015-05-08
Publisher by : Springer
Category : Business & Economics
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Description : Read Now Intelligent Knowledge by Yong Shi and you can download with pub, pdf, txt, doc, and more file format with free account. this book is mainly about an innovative and fundamental method called “intelligent knowledge” to bridge the gap between data mining and knowledge management, two important fields recognized by the information technology (it) community and business analytics (ba) community respectively. the book includes definitions of the “first-order” analytic process, “second-order” analytic process and intelligent knowledge, which have not formally been addressed by either data mining or knowledge management. based on these concepts, which are especially important in connection with the current big data movement, the book describes a framework of domain-driven intelligent knowledge discovery. to illustrate its technical advantages for large-scale data, the book employs established approaches, such as multiple criteria programming, support vector machine and decision tree to identify intelligent knowledge incorporated with human knowledge. the book further shows its applicability by means of real-life data analyses in the contexts of internet business and traditional chinese medicines.

Data Mining and Knowledge Discovery via Logic-Based Methods Theory, Algorithms, and Applications

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Author by : Evangelos Triantaphyllou
Languange Used : English, France, Spanish, Italia and chinese
Page : 350
Isbn : 144191630X
Identifier : 9781441916303
Release : 2010-06-08
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Data Mining And Knowledge Discovery Via Logic Based Methods by Evangelos Triantaphyllou and you can download with pub, pdf, txt, doc, and more file format with free account. the importance of having ef cient and effective methods for data mining and kn- ledge discovery (dm&kd), to which the present book is devoted, grows every day and numerous such methods have been developed in recent decades. there exists a great variety of different settings for the main problem studied by data mining and knowledge discovery, and it seems that a very popular one is formulated in terms of binary attributes. in this setting, states of nature of the application area under consideration are described by boolean vectors de ned on some attributes. that is, by data points de ned in the boolean space of the attributes. it is postulated that there exists a partition of this space into two classes, which should be inferred as patterns on the attributes when only several data points are known, the so-called positive and negative training examples. the main problem in dm&kd is de ned as nding rules for recognizing (cl- sifying) new data points of unknown class, i. e. , deciding which of them are positive and which are negative. in other words, to infer the binary value of one more attribute, called the goal or class attribute. to solve this problem, some methods have been suggested which construct a boolean function separating the two given sets of positive and negative training data points.

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings

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Author by : Jesús Medina
Languange Used : English, France, Spanish, Italia and chinese
Page : 764
Isbn : 3319914790
Identifier : 9783319914794
Release : 2018-06-21
Publisher by : Springer
Category : Computers
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Description : Read Now Information Processing And Management Of Uncertainty In Knowledge Based Systems Applications by Jesús Medina and you can download with pub, pdf, txt, doc, and more file format with free account. this three volume set (ccis 853-855) constitutes the proceedings of the 17th international conference on information processing and management of uncertainty in knowledge-based systems, ipmu 2017, held in cádiz, spain, in june 2018. the 193 revised full papers were carefully reviewed and selected from 383 submissions. the papers are organized in topical sections on advances on explainable artificial intelligence; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery; fuzzy transforms: theory and applications to data analysis and image processing; imprecise probabilities: foundations and applications; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data aggregation; pre-aggregation functions and generalized forms of monotonicity; rough and fuzzy similarity modelling tools; soft computing for decision making in uncertainty; soft computing in information retrieval and sentiment analysis; tri-partitions and uncertainty; decision making modeling and applications; logical methods in mining knowledge from big data; metaheuristics and machine learning; optimization models for modern analytics; uncertainty in medicine; uncertainty in video/image processing (uvip).

Agent and Multi-Agent Systems: Technologies and Applications 6th KES International Conference, KES-AMSTA 2012, Dubrovnik, Croatia, June 25-27, 2012. Proceedings

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Author by : Gordan Jezic
Languange Used : English, France, Spanish, Italia and chinese
Page : 661
Isbn : 364230947X
Identifier : 9783642309472
Release : 2012-06-16
Publisher by : Springer
Category : Computers
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Description : Read Now Agent And Multi Agent Systems Technologies And Applications by Gordan Jezic and you can download with pub, pdf, txt, doc, and more file format with free account. this book constitutes the refereed proceedings of the 6th kes international conference on agent and multi-agent systems, kes-amsta 2012, held in dubrovnik, croatia, in june 2012. the conference attracted a substantial number of researchers and practitioners from all over the world who submitted their papers for ten main tracks covering the methodology and applications of agent and multi-agent systems, one workshop (trumas 2012) and five special sessions on specific topics within the field. the 66 revised papers presented were carefully reviewed and selected for inclusion in the book. the papers are organized in topical sections on virtual organizations, knowledge and learning agents, intelligent workflow, cloud computing and intelligent systems, self-organization, ict-based alternative and augmentative communication, multi-agent systems, mental and holonic models, assessment methodologies in multi-agent and other paradigms, business processing agents, trumas 2012 (first international workshop), conversational agents and agent teams, digital economy, and multi-agent systems in distributed environments.

Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining

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Author by : Hassan AbouEisha
Languange Used : English, France, Spanish, Italia and chinese
Page : 280
Isbn : 3319918397
Identifier : 9783319918396
Release : 2018-05-22
Publisher by : Springer
Category : Computers
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Description : Read Now Extensions Of Dynamic Programming For Combinatorial Optimization And Data Mining by Hassan AbouEisha and you can download with pub, pdf, txt, doc, and more file format with free account. dynamic programming is an efficient technique for solving optimization problems. it is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. a conventional dynamic programming algorithm returns an optimal object from a given set of objects. this book develops extensions of dynamic programming, enabling us to (i) describe the set of objects under consideration; (ii) perform a multi-stage optimization of objects relative to different criteria; (iii) count the number of optimal objects; (iv) find the set of pareto optimal points for bi-criteria optimization problems; and (v) to study relationships between two criteria. it considers various applications, including optimization of decision trees and decision rule systems as algorithms for problem solving, as ways for knowledge representation, and as classifiers; optimization of element partition trees for rectangular meshes, which are used in finite element methods for solving pdes; and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication, binary search trees, global sequence alignment, and shortest paths. the results presented are useful for researchers in combinatorial optimization, data mining, knowledge discovery, machine learning, and finite element methods, especially those working in rough set theory, test theory, logical analysis of data, and pde solvers. this book can be used as the basis for graduate courses.

Business Intelligence Data Mining and Optimization for Decision Making

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Author by : Carlo Vercellis
Languange Used : English, France, Spanish, Italia and chinese
Page : 436
Isbn : 1119965470
Identifier : 9781119965473
Release : 2011-08-10
Publisher by : John Wiley & Sons
Category : Mathematics
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Description : Read Now Business Intelligence by Carlo Vercellis and you can download with pub, pdf, txt, doc, and more file format with free account. 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.

Encyclopedia of Business Analytics and Optimization

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Author by : Wang, John
Languange Used : English, France, Spanish, Italia and chinese
Page : 2754
Isbn : 1466652039
Identifier : 9781466652033
Release : 2014-02-28
Publisher by : IGI Global
Category : Business & Economics
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Description : Read Now Encyclopedia Of Business Analytics And Optimization by Wang, John and you can download with pub, pdf, txt, doc, and more file format with free account. as the age of big data emerges, it becomes necessary to take the five dimensions of big data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. the encyclopedia of business analytics and optimization confronts the challenges of information retrieval in the age of big data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.

Advances in Multiple Criteria Decision Making and Human Systems Management Knowledge and Wisdom : in Honor of Professor Milan Zeleny

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Author by : Yong Shi
Languange Used : English, France, Spanish, Italia and chinese
Page : 405
Isbn : 158603748X
Identifier : 9781586037482
Release : 2007-01-01
Publisher by : IOS Press
Category : Science
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Description : Read Now Advances In Multiple Criteria Decision Making And Human Systems Management by Yong Shi and you can download with pub, pdf, txt, doc, and more file format with free account. " this volume, edited as a festschrift in honor of prof. milan zeleny, reflects and emulates his unmistakable legacy: the essential multidimensionality of human and social affairs. there are many levels of this multidimensionality presented in this volume: 1. multidisciplinarity of contributed papers 2. multinationality of their authors, extending even to the editors and the publisher and 3. multicultural and multilevel exposition, ranging from empirical studies to philosophical foundations. generally, these papers can be divided into three parts: multiple criteria decision making; social and human system management; and information, knowledge and wisdom management. it is the recognition of multidimensionality in decision making, economics, optimization, systems, cybernetics and the pursuit of knowledge that bear the stamp of specific zelenys contributions. his life-long dedication to multidimensionality has produced an ultimate multidimensional being, living in academic multiverse, functioning in a boundaryless world of all continents, cultures and countries. this book is as diverse and as multidimensional as the man and his work. "

Principles and Theory for Data Mining and Machine Learning

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Author by : Bertrand Clarke
Languange Used : English, France, Spanish, Italia and chinese
Page : 786
Isbn : 0387981357
Identifier : 9780387981352
Release : 2009-07-21
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Principles And Theory For Data Mining And Machine Learning by Bertrand Clarke and you can download with pub, pdf, txt, doc, and more file format with free account. extensive treatment of the most up-to-date topics provides the theory and concepts behind popular and emerging methods range of topics drawn from statistics, computer science, and electrical engineering

Data Mining Applications with R

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Author by : Yanchang Zhao
Languange Used : English, France, Spanish, Italia and chinese
Page : 514
Isbn : 0124115209
Identifier : 9780124115200
Release : 2013-11-26
Publisher by : Academic Press
Category : Computers
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Description : Read Now Data Mining Applications With R by Yanchang Zhao and you can download with pub, pdf, txt, doc, and more file format with free account. data mining applications with r is a great resource for researchers and professionals to understand the wide use of r, a free software environment for statistical computing and graphics, in solving different problems in industry. r is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. this book presents 15 different real-world case studies illustrating various techniques in rapidly growing areas. it is an ideal companion for data mining researchers in academia and industry looking for ways to turn this versatile software into a powerful analytic tool. r code, data and color figures for the book are provided at the rdatamining.com website. helps data miners to learn to use r in their specific area of work and see how r can apply in different industries presents various case studies in real-world applications, which will help readers to apply the techniques in their work provides code examples and sample data for readers to easily learn the techniques by running the code by themselves

Principles of Data Mining

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Author by : Max Bramer
Languange Used : English, France, Spanish, Italia and chinese
Page : 526
Isbn : 1447173074
Identifier : 9781447173076
Release : 2016-11-09
Publisher by : Springer
Category : Computers
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Description : Read Now Principles Of Data Mining by Max Bramer and you can download with pub, pdf, txt, doc, and more file format with free account. this book explains and explores the principal techniques of data mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. it focuses on classification, association rule mining and clustering. each topic is clearly explained, with a focus on algorithms not mathematical formalism, and is illustrated by detailed worked examples. the book is written for readers without a strong background in mathematics or statistics and any formulae used are explained in detail. it can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including computer science, business studies, marketing, artificial intelligence, bioinformatics and forensic science. as an aid to self study, this book aims to help general readers develop the necessary understanding of what is inside the 'black box' so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field. each chapter has practical exercises to enable readers to check their progress. a full glossary of technical terms used is included. this expanded third edition includes detailed descriptions of algorithms for classifying streaming data, both stationary data, where the underlying model is fixed, and data that is time-dependent, where the underlying model changes from time to time - a phenomenon known as concept drift.