Innovative Applications In Data Mining

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Innovative Applications in Data Mining

Author : Nadia Nedjah
Publisher : Springer Science & Business Media
ISBN 13 : 3540880445
Total Pages : 132 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Innovative Applications in Data Mining by : Nadia Nedjah

Download or read book Innovative Applications in Data Mining written by Nadia Nedjah and published by Springer Science & Business Media. This book was released on 2009-01-17 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Publisher : Springer
ISBN 13 : 3319149989
Total Pages : 452 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Multimedia Data Mining and Analytics by : Aaron K. Baughman

Download or read book Multimedia Data Mining and Analytics written by Aaron K. Baughman and published by Springer. This book was released on 2015-03-31 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Publisher : Springer
ISBN 13 : 3030159396
Total Pages : 276 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Innovations in Big Data Mining and Embedded Knowledge by : Anna Esposito

Download or read book Innovations in Big Data Mining and Embedded Knowledge written by Anna Esposito and published by Springer. This book was released on 2019-07-03 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Data Mining for Business Applications

Author : Carlos A. Mota Soares
Publisher : IOS Press
ISBN 13 : 1607506327
Total Pages : 196 pages
Book Rating : 4.6/5 (75 download)

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Book Synopsis Data Mining for Business Applications by : Carlos A. Mota Soares

Download or read book Data Mining for Business Applications written by Carlos A. Mota Soares and published by IOS Press. This book was released on 2010 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Next Generation of Data Mining

Author : Hillol Kargupta
Publisher : CRC Press
ISBN 13 : 1420085875
Total Pages : 640 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Next Generation of Data Mining by : Hillol Kargupta

Download or read book Next Generation of Data Mining written by Hillol Kargupta and published by CRC Press. This book was released on 2008-12-24 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 di

Integrations of Data Warehousing, Data Mining and Database Technologies

Author : David Taniar
Publisher : IGI Global
ISBN 13 : 9781609605377
Total Pages : 0 pages
Book Rating : 4.6/5 (53 download)

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Book Synopsis Integrations of Data Warehousing, Data Mining and Database Technologies by : David Taniar

Download or read book Integrations of Data Warehousing, Data Mining and Database Technologies written by David Taniar and published by IGI Global. This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Emerging Technologies in Knowledge Discovery and Data Mining

Author : Takashi Washio
Publisher : Springer
ISBN 13 : 3540770186
Total Pages : 688 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Emerging Technologies in Knowledge Discovery and Data Mining by : Takashi Washio

Download or read book Emerging Technologies in Knowledge Discovery and Data Mining written by Takashi Washio and published by Springer. This book was released on 2007-11-27 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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

Author : Ali, A B M Shawkat
Publisher : IGI Global
ISBN 13 : 1605669091
Total Pages : 516 pages
Book Rating : 4.6/5 (56 download)

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

Download or read book Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches written by Ali, A B M Shawkat and published by IGI Global. This book was released on 2009-11-30 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book discusses advances in modern data mining research in today's rapidly growing global and technological environment"--Provided by publisher.

Data Mining Applications for Empowering Knowledge Societies

Author : Rahman, Hakikur
Publisher : IGI Global
ISBN 13 : 1599046598
Total Pages : 356 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Data Mining Applications for Empowering Knowledge Societies by : Rahman, Hakikur

Download or read book Data Mining Applications for Empowering Knowledge Societies written by Rahman, Hakikur and published by IGI Global. This book was released on 2008-07-31 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced Data Mining and Applications

Author : Reda Alhajj
Publisher : Springer Science & Business Media
ISBN 13 : 3540738703
Total Pages : 649 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Advanced Data Mining and Applications by : Reda Alhajj

Download or read book Advanced Data Mining and Applications written by Reda Alhajj and published by Springer Science & Business Media. This book was released on 2007-07-17 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Outlier Detection: Techniques and Applications

Author : N. N. R. Ranga Suri
Publisher : Springer
ISBN 13 : 3030051277
Total Pages : 214 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Outlier Detection: Techniques and Applications by : N. N. R. Ranga Suri

Download or read book Outlier Detection: Techniques and Applications written by N. N. R. Ranga Suri and published by Springer. This book was released on 2019-01-10 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced Data Mining and Applications

Author : Xue Li
Publisher : Springer
ISBN 13 : 3540370269
Total Pages : 1131 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Advanced Data Mining and Applications by : Xue Li

Download or read book Advanced Data Mining and Applications written by Xue Li and published by Springer. This book was released on 2006-07-27 with total page 1131 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Publisher : Springer Science & Business Media
ISBN 13 : 1461517338
Total Pages : 608 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Data Mining for Scientific and Engineering Applications by : R.L. Grossman

Download or read book Data Mining for Scientific and Engineering Applications written by R.L. Grossman and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence

Author : Trivedi, Shrawan Kumar
Publisher : IGI Global
ISBN 13 : 1522520325
Total Pages : 438 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence by : Trivedi, Shrawan Kumar

Download or read book Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence written by Trivedi, Shrawan Kumar and published by IGI Global. This book was released on 2017-02-14 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.

Computational Intelligence in Data Mining

Author : Janmenjoy Nayak
Publisher : Springer Nature
ISBN 13 : 9811694478
Total Pages : 757 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Computational Intelligence in Data Mining by : Janmenjoy Nayak

Download or read book Computational Intelligence in Data Mining written by Janmenjoy Nayak and published by Springer Nature. This book was released on 2022-05-06 with total page 757 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 in Public and Private Sectors: Organizational and Government Applications

Author : Syvajarvi, Antti
Publisher : IGI Global
ISBN 13 : 1605669075
Total Pages : 448 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Data Mining in Public and Private Sectors: Organizational and Government Applications by : Syvajarvi, Antti

Download or read book Data Mining in Public and Private Sectors: Organizational and Government Applications written by Syvajarvi, Antti and published by IGI Global. This book was released on 2010-06-30 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Innovative Healthcare Systems for the 21st Century

Author : Hassan Qudrat-Ullah
Publisher : Springer
ISBN 13 : 3319557742
Total Pages : 341 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Innovative Healthcare Systems for the 21st Century by : Hassan Qudrat-Ullah

Download or read book Innovative Healthcare Systems for the 21st Century written by Hassan Qudrat-Ullah and published by Springer. This book was released on 2017-05-11 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest in decision-making tools, techniques, and solutions for policy makers to utilize in overcoming the challenges faced by healthcare systems. With contributions from experts world-wide, an array of healthcare management models, techniques, and integrative solutions are presented, drawing on econometric, system dynamics, and agent-based models as well as state-of-the-art empirical studies. As total healthcare spending (both total expenditures on health as a percentage of GDP and average spending on per capita) increases across most of the world’s economies, healthcare systems continue to face challenges in terms of cost, quality, and access, as a result of its fragmented nature. Consequently, healthcare managers and policy makers require innovative integrative approaches and solutions to better manage complex, dynamic healthcare systems. This volume offers researchers and policy makers an insightful and critical review of the state of the art in healthcare modeling, with a particular focus on system dynamics, agent-based models, and modern empirical studies. It will be of interest to those in the fields of health, business management, and information systems.