Data Mining Ix

Author : A. Zanasi
Publisher : WIT Press
Page : 321 pages
File Size : 55,8 Mb
Release : 2008
Category : Computers
ISBN : 9781845641108

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Data Mining IX by A. Zanasi Pdf

Bringing together papers presented at the ninth International Conference on Data Mining, this book addresses the developments in this important field. Featured topics include: data preparation, clustering technologies, customer relationship management, text mining, web mining, and categorisation methods.

Author : A.J. Tallón-Ballesteros,R. Beltrán-Barba
Publisher : IOS Press
Page : 980 pages
File Size : 51,5 Mb
Release : 2023-12-19
Category : Computers
ISBN : 9781643684710

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Fuzzy Systems and Data Mining IX by A.J. Tallón-Ballesteros,R. Beltrán-Barba Pdf

Fuzzy systems and data mining are indispensible aspects of the digital technology on which we now all depend. Fuzzy logic is intrinsic to applications in the electrical, chemical and engineering industries, and also in the fields of management and environmental issues. Data mining is indispensible in dealing with big data, massive data, and scalable, parallel and distributed algorithms. This book presents the proceedings of FSDM 2023, the 9th International Conference on Fuzzy Systems and Data Mining, held from 10-13 November 2023 as a hybrid event, with some participants attending in Chongqing, China, and others online. The conference focuses on four main areas: fuzzy theory, algorithms and systems; fuzzy application; data mining; and the interdisciplinary field of fuzzy logic and data mining, and provides a forum for experts, researchers, academics and representatives from industry to share the latest advances in the field of fuzzy sets and data mining. This year, topics from two special sessions on granular-ball computing and the application of generative AI, as well as machine learning and neural networks, were also covered. A total of 363 submissions were received, and after careful review by the members of the international program committee, 110 papers were accepted for presentation at the conference and publication here, representing an acceptance rate of just over 30%. Covering a comprehensive range of current research and developments in fuzzy logic and data mining, the book will be of interest to all those working in the field of data science.

Author : Meta S. Brown
Publisher : John Wiley & Sons
Page : 422 pages
File Size : 52,5 Mb
Release : 2014-09-04
Category : Computers
ISBN : 9781118893166

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Data Mining For Dummies by Meta S. Brown Pdf

Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining.

Author : Mohammed J. Zaki,Wagner Meira, Jr
Publisher : Cambridge University Press
Page : 779 pages
File Size : 43,6 Mb
Release : 2020-01-30
Category : Business & Economics
ISBN : 9781108473989

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Data Mining and Machine Learning by Mohammed J. Zaki,Wagner Meira, Jr Pdf

New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.

Author : Leszek Rutkowski,Maciej Jaworski,Piotr Duda
Publisher : Springer
Page : 330 pages
File Size : 45,6 Mb
Release : 2019-03-16
Category : Technology & Engineering
ISBN : 9783030139629

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Stream Data Mining: Algorithms and Their Probabilistic Properties by Leszek Rutkowski,Maciej Jaworski,Piotr Duda Pdf

This book presents a unique approach to stream data mining. Unlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justified. First, it describes how to adapt static decision trees to accommodate data streams; in this regard, new splitting criteria are developed to guarantee that they are asymptotically equivalent to the classical batch tree. Moreover, new decision trees are designed, leading to the original concept of hybrid trees. In turn, nonparametric techniques based on Parzen kernels and orthogonal series are employed to address concept drift in the problem of non-stationary regressions and classification in a time-varying environment. Lastly, an extremely challenging problem that involves designing ensembles and automatically choosing their sizes is described and solved. Given its scope, the book is intended for a professional audience of researchers and practitioners who deal with stream data, e.g. in telecommunication, banking, and sensor networks.

Author : Wesley W. Chu
Publisher : Springer Science & Business Media
Page : 314 pages
File Size : 44,8 Mb
Release : 2013-09-24
Category : Technology & Engineering
ISBN : 9783642408373

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Data Mining and Knowledge Discovery for Big Data by Wesley W. Chu Pdf

The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for patterns in complex structural information. In biomedicine for example, modeling complex biological systems requires linking knowledge across many levels of science, from genes to disease. Further, the data characteristics of the problems have also grown from static to dynamic and spatiotemporal, complete to incomplete, and centralized to distributed, and grow in their scope and size (this is known as big data). The effective integration of big data for decision-making also requires privacy preservation. The contributions to this monograph summarize the advances of data mining in the respective fields. This volume consists of nine chapters that address subjects ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.

Author : Chuck Ballard,John Rollins,Jo Ramos,Andy Perkins,Richard Hale
Publisher : Vervante
Page : 532 pages
File Size : 43,6 Mb
Release : 2007-01-01
Category : Computers
ISBN : 0738488860

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Dynamic Warehousing by Chuck Ballard,John Rollins,Jo Ramos,Andy Perkins,Richard Hale Pdf

Author : Sean Cornelius,Kate Coronges,Bruno Gonçalves,Roberta Sinatra,Alessandro Vespignani
Publisher : Springer
Page : 350 pages
File Size : 45,7 Mb
Release : 2018-02-15
Category : Science
ISBN : 9783319731988

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Complex Networks IX by Sean Cornelius,Kate Coronges,Bruno Gonçalves,Roberta Sinatra,Alessandro Vespignani Pdf

This book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 9th International Conference on Complex Networks (CompleNet) in Boston, MA, March, 2018. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe, prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security.

Author : Longbing Cao,Yifeng Zeng,Andreas L. Symeonidis,Vladimir Gorodetsky,Jörg P. Müller,Philip S. Yu
Publisher : Springer
Page : 142 pages
File Size : 40,7 Mb
Release : 2014-04-30
Category : Computers
ISBN : 9783642551925

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Agents and Data Mining Interaction by Longbing Cao,Yifeng Zeng,Andreas L. Symeonidis,Vladimir Gorodetsky,Jörg P. Müller,Philip S. Yu Pdf

This book constitutes the thoroughly refereed and revised selected papers from the 9th International Workshop on Agents and Data Mining Interaction, ADMI 2013, held in Saint Paul, MN, USA in May 2013. The 10 papers presented in this volume were carefully selected for inclusion in the book and are organized in topical sections named agent mining and data mining.

Author : Hiroshi Motoda,Min Yao,Wei Wang,Osmar Zaiane,Longbing Cao,Zhaohui Wu
Publisher : Unknown
Page : 0 pages
File Size : 43,9 Mb
Release : 2024-06-29
Category : Electronic
ISBN : OCLC:255203374

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Advanced data mining and applications by Hiroshi Motoda,Min Yao,Wei Wang,Osmar Zaiane,Longbing Cao,Zhaohui Wu Pdf

Author : Ulf Brefeld,Jesse Davis,Jan Van Haaren,Albrecht Zimmermann
Publisher : Springer
Page : 179 pages
File Size : 51,9 Mb
Release : 2019-04-06
Category : Computers
ISBN : 9783030172749

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Machine Learning and Data Mining for Sports Analytics by Ulf Brefeld,Jesse Davis,Jan Van Haaren,Albrecht Zimmermann Pdf

This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018. The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer.

Author : Chaitanya P Agrawal, Meena Agrawal
Publisher : Educreation Publishing
Page : 112 pages
File Size : 43,5 Mb
Release : 2024-06-29
Category : Self-Help
ISBN : 8210379456XXX

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Introduction To Data Mining by Chaitanya P Agrawal, Meena Agrawal Pdf

This book is a small endeavor to share the journey of getting introduced to a wonderful topic Data Mining. Personally we came across this during the process of evaluating new tools to be included in the post graduate study curricula of the University we are working in. Soon it became a friendly affair to see the power, potential and ease of empowering the databases with concepts of data mining. It has become powerful in rediscovering the hidden values in data base and soon in data warehouse, equally efficiently. The Data mining is a powerful new technology with great potential focusing on the most important information in their data warehouses. It involves extraction of hidden predictive information from large databases with ease and efficiency. It facilitates to make proactive, knowledge-driven decisions and predict future trends and behaviors. Data mining tools move beyond the analyses of past events provided by retrospective tools typical of decision support systems. The automated, prospective analyses offered by data mining tools can answer finding predictive information easily. This small book is an introduction to the basics of data mining. It also introduces the techniques and technologies behind data mining, the impact of artificial intelligence, artificial neural networks, and fuzzy logic et cetera as the basic building blocks for the same. It concludes with common practical applications, trends and its impact on social and computing environment.

Author : Hiroshi Motoda,Zhaohui Wu,Longbing Cao,Osmar Zaiane,Min Yao,Wei Wang
Publisher : Springer
Page : 605 pages
File Size : 44,9 Mb
Release : 2013-12-14
Category : Computers
ISBN : 9783642539145

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Advanced Data Mining and Applications by Hiroshi Motoda,Zhaohui Wu,Longbing Cao,Osmar Zaiane,Min Yao,Wei Wang Pdf

The two-volume set LNAI 8346 and 8347 constitutes the thoroughly refereed proceedings of the 9th International Conference on Advanced Data Mining and Applications, ADMA 2013, held in Hangzhou, China, in December 2013. The 32 regular papers and 64 short papers presented in these two volumes were carefully reviewed and selected from 222 submissions. The papers included in these two volumes cover the following topics: opinion mining, behavior mining, data stream mining, sequential data mining, web mining, image mining, text mining, social network mining, classification, clustering, association rule mining, pattern mining, regression, predication, feature extraction, identification, privacy preservation, applications, and machine learning.

Author : Jan Komorowski,Jan Zytkow
Publisher : Springer Science & Business Media
Page : 420 pages
File Size : 54,9 Mb
Release : 1997-06-13
Category : Business & Economics
ISBN : 3540632239

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Principles of Data Mining and Knowledge Discovery by Jan Komorowski,Jan Zytkow Pdf

This book constitutes the refereed proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD '97, held in Trondheim, Norway, in June 1997. The volume presents a total of 38 revised full papers together with abstracts of one invited talk and four tutorials. Among the topics covered are data and knowledge representation, statistical and probabilistic methods, logic-based approaches, man-machine interaction aspects, AI contributions, high performance computing support, machine learning, automated scientific discovery, quality assessment, and applications.

Author : Guoyin Wang,Qing Liu,Yiyu Yao
Publisher : Springer
Page : 746 pages
File Size : 44,9 Mb
Release : 2003-08-03
Category : Computers
ISBN : 9783540392057

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by Guoyin Wang,Qing Liu,Yiyu Yao Pdf

This volume contains the papers selected for presentation at the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2003) held at Chongqing University of Posts and Telecommunications, Chongqing, P.R. China, May 26–29, 2003. There were 245 submissions for RSFDGrC 2003 excluding for 2 invited keynote papers and 11 invited plenary papers. Apart from the 13 invited papers, 114 papers were accepted for RSFDGrC 2003 and were included in this volume. The acceptance rate was only 46.5%. These papers were divided into 39 regular oral presentation papers (each allotted 8 pages), 47 short oral presentation papers (each allotted 4 pages) and 28 poster presentation papers (each allotted 4 pages) on the basis of reviewer evaluations. Each paper was reviewed by three referees. The conference is a continuation and expansion of the International Workshops on Rough Set Theory and Applications. In particular, this was the ninth meeting in the series and the first international conference. The aim of RSFDGrC2003 was to bring together researchers from diverse fields of expertise in order to facilitate mutual understanding and cooperation and to help in cooperative work aimed at new hybrid paradigms. It is our great pleasure to dedicate this volume to Prof. Zdzislaw Pawlak, who first introduced the basic ideas and definitions of rough sets theory over 20 years ago.