Innovative Applications In Data Mining

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Innovative Applications in Data Mining

Author : Nadia Nedjah,Luiza de Macedo Mourelle,Janusz Kacprzyk
Publisher : Springer Science & Business Media
Page : 132 pages
File Size : 49,8 Mb
Release : 2009-01-17
Category : Mathematics
ISBN : 9783540880448

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Innovative Applications in Data Mining by Nadia Nedjah,Luiza de Macedo Mourelle,Janusz Kacprzyk Pdf

Data mining consists of attempting to discover novel and useful knowledge from data, trying to find patterns among datasets that can help in intelligent decision making. However, reports of real-world case studies are not generally detailed in the literature, due to the fact that they are usually based on proprietary datasets, making it impossible to publish the results. This kind of situation makes hard to evaluate, in a precise way, the degree of effectiveness of data mining techniques in real-world applications. On the other hand, researchers of this field of expertise usually exploit public-domain datasets. This volume offers a wide spectrum of research work developed for data mining for real-world application. In the following, we give a brief introduction of the chapters that are included in this book.

Multimedia Data Mining and Analytics

Author : Aaron K. Baughman,Jiang Gao,Jia-Yu Pan,Valery A. Petrushin
Publisher : Springer
Page : 454 pages
File Size : 51,7 Mb
Release : 2015-03-31
Category : Computers
ISBN : 9783319149981

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Multimedia Data Mining and Analytics by Aaron K. Baughman,Jiang Gao,Jia-Yu Pan,Valery A. Petrushin Pdf

This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data processing can be viewed as a sequence of disruptive innovations. Across the chapters, the discussion covers the practical frameworks, libraries, and open source software that enable the development of ground-breaking research into practical applications. Features: reviews how innovations in mobile, social, cognitive, cloud and organic based computing impacts upon the development of multimedia data mining; provides practical details on implementing the technology for solving real-world problems; includes chapters devoted to privacy issues in multimedia social environments and large-scale biometric data processing; covers content and concept based multimedia search and advanced algorithms for multimedia data representation, processing and visualization.

Innovations in Big Data Mining and Embedded Knowledge

Author : Anna Esposito,Antonietta M. Esposito,Lakhmi C. Jain
Publisher : Springer
Page : 276 pages
File Size : 47,8 Mb
Release : 2019-07-03
Category : Technology & Engineering
ISBN : 9783030159399

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Innovations in Big Data Mining and Embedded Knowledge by Anna Esposito,Antonietta M. Esposito,Lakhmi C. Jain Pdf

This book addresses the usefulness of knowledge discovery through data mining. With this aim, contributors from different fields propose concrete problems and applications showing how data mining and discovering embedded knowledge from raw data can be beneficial to social organizations, domestic spheres, and ICT markets. Data mining or knowledge discovery in databases (KDD) has received increasing interest due to its focus on transforming large amounts of data into novel, valid, useful, and structured knowledge by detecting concealed patterns and relationships. The concept of knowledge is broad and speculative and has promoted epistemological debates in western philosophies. The intensified interest in knowledge management and data mining stems from the difficulty in identifying computational models able to approximate human behaviors and abilities in resolving organizational, social, and physical problems. Current ICT interfaces are not yet adequately advanced to support and simulate the abilities of physicians, teachers, assistants or housekeepers in domestic spheres. And unlike in industrial contexts where abilities are routinely applied, the domestic world is continuously changing and unpredictable. There are challenging questions in this field: Can knowledge locked in conventions, rules of conduct, common sense, ethics, emotions, laws, cultures, and experiences be mined from data? Is it acceptable for automatic systems displaying emotional behaviors to govern complex interactions based solely on the mining of large volumes of data? Discussing multidisciplinary themes, the book proposes computational models able to approximate, to a certain degree, human behaviors and abilities in resolving organizational, social, and physical problems. The innovations presented are of primary importance for: a. The academic research community b. The ICT market c. Ph.D. students and early stage researchers d. Schools, hospitals, rehabilitation and assisted-living centers e. Representatives from multimedia industries and standardization bodies

Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches

Author : Ali, A B M Shawkat,Xiang, Yang
Publisher : IGI Global
Page : 516 pages
File Size : 55,9 Mb
Release : 2009-11-30
Category : Medical
ISBN : 9781605669090

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Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches by Ali, A B M Shawkat,Xiang, Yang Pdf

"This book discusses advances in modern data mining research in today's rapidly growing global and technological environment"--Provided by publisher.

Outlier Detection: Techniques and Applications

Author : N. N. R. Ranga Suri,Narasimha Murty M,G. Athithan
Publisher : Springer
Page : 214 pages
File Size : 43,8 Mb
Release : 2019-01-10
Category : Technology & Engineering
ISBN : 9783030051273

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Outlier Detection: Techniques and Applications by N. N. R. Ranga Suri,Narasimha Murty M,G. Athithan Pdf

This book, drawing on recent literature, highlights several methodologies for the detection of outliers and explains how to apply them to solve several interesting real-life problems. The detection of objects that deviate from the norm in a data set is an essential task in data mining due to its significance in many contemporary applications. More specifically, the detection of fraud in e-commerce transactions and discovering anomalies in network data have become prominent tasks, given recent developments in the field of information and communication technologies and security. Accordingly, the book sheds light on specific state-of-the-art algorithmic approaches such as the community-based analysis of networks and characterization of temporal outliers present in dynamic networks. It offers a valuable resource for young researchers working in data mining, helping them understand the technical depth of the outlier detection problem and devise innovative solutions to address related challenges.

Integrations of Data Warehousing, Data Mining and Database Technologies

Author : David Taniar,Li Chen
Publisher : IGI Global
Page : 0 pages
File Size : 50,5 Mb
Release : 2011
Category : Computers
ISBN : 1609605373

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Integrations of Data Warehousing, Data Mining and Database Technologies by David Taniar,Li Chen Pdf

"This book provides a comprehensive compilation of knowledge covering state-of-the-art developments and research, as well as current innovative activities in data warehousing and mining, focusing on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real world problems"--Provided by publisher.

Data Mining for Business Applications

Author : Carlos A. Mota Soares,Rayid Ghani
Publisher : IOS Press
Page : 196 pages
File Size : 49,7 Mb
Release : 2010
Category : Computers
ISBN : 9781607506324

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Data Mining for Business Applications by Carlos A. Mota Soares,Rayid Ghani Pdf

Data mining is already incorporated into the business processes in sectors such as health, retail, automotive, finance, telecom and insurance as well as in government. This book contains extended versions of a selection of papers presented at a series of workshops held between 2005 and 2008 on the subject of data mining for business applications.

Computational Intelligence in Data Mining

Author : Janmenjoy Nayak,H.S. Behera,Bighnaraj Naik,S. Vimal,Danilo Pelusi
Publisher : Springer Nature
Page : 757 pages
File Size : 43,5 Mb
Release : 2022-05-06
Category : Technology & Engineering
ISBN : 9789811694479

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Computational Intelligence in Data Mining by Janmenjoy Nayak,H.S. Behera,Bighnaraj Naik,S. Vimal,Danilo Pelusi Pdf

This book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book is a collection of high-quality peer-reviewed research papers presented in the Sixth International Conference on Computational Intelligence in Data Mining (ICCIDM 2021) held at Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India, during December 11–12, 2021. The book addresses the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.

Data Mining Applications for Empowering Knowledge Societies

Author : Rahman, Hakikur
Publisher : IGI Global
Page : 356 pages
File Size : 43,9 Mb
Release : 2008-07-31
Category : Technology & Engineering
ISBN : 9781599046594

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Data Mining Applications for Empowering Knowledge Societies by Rahman, Hakikur Pdf

Presents an overview of the main issues of data mining, including its classification, regression, clustering, and ethical issues. Provides readers with knowledge enhancing processes as well as a wide spectrum of data mining applications.

Data Mining in Public and Private Sectors: Organizational and Government Applications

Author : Syvajarvi, Antti,Stenvall, Jari
Publisher : IGI Global
Page : 448 pages
File Size : 41,8 Mb
Release : 2010-06-30
Category : Computers
ISBN : 9781605669076

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Data Mining in Public and Private Sectors: Organizational and Government Applications by Syvajarvi, Antti,Stenvall, Jari Pdf

The need for both organizations and government agencies to generate, collect, and utilize data in public and private sector activities is rapidly increasing, placing importance on the growth of data mining applications and tools. Data Mining in Public and Private Sectors: Organizational and Government Applications explores the manifestation of data mining and how it can be enhanced at various levels of management. This innovative publication provides relevant theoretical frameworks and the latest empirical research findings useful to governmental agencies, practicing managers, and academicians.

Advanced Data Mining and Applications

Author : Reda Alhajj,Hong Gao,Xue Li,Jianzhong Li,Osmar R. Zaiane
Publisher : Springer Science & Business Media
Page : 649 pages
File Size : 49,6 Mb
Release : 2007-07-17
Category : Computers
ISBN : 9783540738701

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Advanced Data Mining and Applications by Reda Alhajj,Hong Gao,Xue Li,Jianzhong Li,Osmar R. Zaiane Pdf

This book constitutes the refereed proceedings of the Third International Conference on Advanced Data Mining and Applications, ADMA 2007, held in Harbin, China in August 2007. The papers focus on advancements in data mining and peculiarities and challenges of real world applications using data mining.

Emerging Technologies in Knowledge Discovery and Data Mining

Author : Takashi Washio,Zhi-Hua Zhou,Joshua Zhexue Huang,Xiaohua (Tony) Hu,Jinyan Li,Chao Xie,Jieyue He,Deqing Zou,Kuan-Ching Li,Mario M. Freire
Publisher : Springer
Page : 678 pages
File Size : 53,6 Mb
Release : 2007-11-27
Category : Computers
ISBN : 9783540770183

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Emerging Technologies in Knowledge Discovery and Data Mining by Takashi Washio,Zhi-Hua Zhou,Joshua Zhexue Huang,Xiaohua (Tony) Hu,Jinyan Li,Chao Xie,Jieyue He,Deqing Zou,Kuan-Ching Li,Mario M. Freire Pdf

This book constitutes the thoroughly refereed post-proceedings of three workshops and an industrial track held in conjunction with the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China in May 2007. The 62 revised full papers presented together with an overview article to each workshop were carefully reviewed and selected from 355 submissions.

Next Generation of Data Mining

Author : Hillol Kargupta,Jiawei Han,Philip S. Yu,Rajeev Motwani,Vipin Kumar
Publisher : CRC Press
Page : 601 pages
File Size : 40,7 Mb
Release : 2008-12-24
Category : Computers
ISBN : 1420085875

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Next Generation of Data Mining by Hillol Kargupta,Jiawei Han,Philip S. Yu,Rajeev Motwani,Vipin Kumar Pdf

Drawn from the US National Science Foundation’s Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field. Gathering perspectives from top experts across different disciplines, the book debates upcoming challenges and outlines computational methods. The contributors look at how ecology, astronomy, social science, medicine, finance, and more can benefit from the next generation of data mining techniques. They examine the algorithms, middleware, infrastructure, and privacy policies associated with ubiquitous, distributed, and high performance data mining. They also discuss the impact of new technologies, such as the semantic web, on data mining and provide recommendations for privacy-preserving mechanisms. The dramatic increase in the availability of massive, complex data from various sources is creating computing, storage, communication, and human-computer interaction challenges for data mining. Providing a framework to better understand these fundamental issues, this volume surveys promising approaches to data mining problems that span an array of disciplines.

Advanced Data Mining and Applications

Author : Xue Li,Osmar R. Zaiane,Zhanhuai Li
Publisher : Springer
Page : 1114 pages
File Size : 49,8 Mb
Release : 2006-07-27
Category : Computers
ISBN : 9783540370260

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Advanced Data Mining and Applications by Xue Li,Osmar R. Zaiane,Zhanhuai Li Pdf

Here are the proceedings of the 2nd International Conference on Advanced Data Mining and Applications, ADMA 2006, held in Xi'an, China, August 2006. The book presents 41 revised full papers and 74 revised short papers together with 4 invited papers. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, and more.

Data Mining for Scientific and Engineering Applications

Author : R.L. Grossman,C. Kamath,P. Kegelmeyer,V. Kumar,R. Namburu
Publisher : Springer Science & Business Media
Page : 608 pages
File Size : 50,9 Mb
Release : 2013-12-01
Category : Computers
ISBN : 9781461517337

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Data Mining for Scientific and Engineering Applications by R.L. Grossman,C. Kamath,P. Kegelmeyer,V. Kumar,R. Namburu Pdf

Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well as the issues and challenges that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications. Audience: This work would be an excellent text for students and researchers who are familiar with the basic principles of data mining and want to learn more about the application of data mining to their problem in science or engineering.