Advances In Data Mining

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Advances in Data Mining Applications in E-Commerce, Medicine, and Knowledge Management

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Author by : Petra Perner
Languange Used : English, France, Spanish, Italia and chinese
Page : 112
Isbn : 3540461310
Identifier : 9783540461319
Release : 2003-08-02
Publisher by : Springer
Category : Computers
Total Download : 6325183
Total Read : 7302786
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Description : Read Now Advances In Data Mining by Petra Perner and you can download with pub, pdf, txt, doc, and more file format with free account. this book presents papers describing selected projects on the topic of data mining in fields like e commerce, medicine, and knowledge management. the objective is to report on current results and at the same time to give a review on the present activities in this field in germany. an effort has been made to include the latest scientific results, as well as lead the reader to the various fields of activity and the problems related to them. knowledge discovery on the basis of web data is a wide and fast growing area. e commerce is the principal theme of motivation in this field, as companies invest large sums in the electronic market, in order to maximize their profits and minimize their risks. other applications are telelearning, teleteaching, service support, and citizen information systems. concerning these applications, there is a great need to understand and support the user by means of recommendation systems, adaptive information systems, as well as by personalization. in this respect giudici and blanc present in their paper procedures for the generation of associative models from the tracking behavior of the user. perner and fiss present in their paper a strategy for intelligent e marketing with web mining and personalization. methods and procedures for the generation of associative rules are presented in the paper by hipp, güntzer, and nakhaeidizadeh.

Author by : Petra Perner
Languange Used : English, France, Spanish, Italia and chinese
Page : 176
Isbn : 3540301852
Identifier : 9783540301851
Release : 2004-11-15
Publisher by : Springer
Category : Computers
Total Download : 915376
Total Read : 5435815
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Description : Read Now Advances In Data Mining by Petra Perner and you can download with pub, pdf, txt, doc, and more file format with free account. the industrial conference on data mining icdm-leipzig was the fourth meeting in a series of annual events which started in 2000, organized by the institute of computer vision and applied computer sciences (ibai) in leipzig. the mission of the conference is to bring together researchers and people from industry in order to discuss together new trends and applications in data mining. this year a broad spectrum of work of different applications was presented ranging from image mining, medicine and biotechnology, management and environmental control, to telecommunications. besides that an industrial exhibition showed the successful application of data mining methods by industries in different areas such as medical devices, mass data management systems, data mining tools, etc. during the discussion many projects were inspired leading to new and joint work. the fruitful discussions, the exchange of ideas and the spirit of the conference made it a remarkable event for both sides, industry and research. we would like to express our appreciation to the reviewers for their precise and highly professional work. we appreciate the help and understanding of the editorial staff at springer and in particular alfred hofmann, who supported the publication of these proceedings in the lnai series. last, but not least, we wish to thank all speakers, participants and industrial exhibitors who contributed to the success of the conference. we are looking forward to welcoming you to icdm 2005 (www.data-mini- forum.de) and to the new work you will present there.

Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects 8th Industrial Conference, ICDM 2008 Leipzig, Germany, July 16-18, 2008, Proceedings

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Author by : Petra Perner
Languange Used : English, France, Spanish, Italia and chinese
Page : 428
Isbn : 3540707204
Identifier : 9783540707202
Release : 2008-07-14
Publisher by : Springer
Category : Computers
Total Download : 7356355
Total Read : 4896121
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Description : Read Now Advances In Data Mining Medical Applications E Commerce Marketing And Theoretical Aspects by Petra Perner and you can download with pub, pdf, txt, doc, and more file format with free account. icdm / mldm medaillie (limited edition) meissner porcellan, the “white gold” of king august the strongest of saxonia icdm 2008 was the eighth event of the industrial conference on data mining held in leipzig (www.data-mining-forum.de). for this edition the program committee received 116 submissions from 20 countries. after the peer-review process, we accepted 36 high-quality papers for oral presentation, which are included in these proceedings. the topics range from aspects of classification and prediction, clustering, web mining, data mining in medicine, applications of data mining, time series and frequent pattern mining, and association rule mining. thirteen papers were selected for poster presentations that are published in the icdm poster proceeding volume. in conjunction with icdm there were three workshops focusing on special hot application-oriented topics in data mining. the workshop data mining in life science dmls 2008 was held the third time this year and the workshop data mining in marketing dmm 2008 ran for the second time this year. additionally, we introduced an international workshop on case-based reasoning for multimedia data cbr-md.

Recent Advances in Data Mining of Enterprise Data Algorithms and Applications

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Author by : Thunshun Warren Liao, Evangelos Triantaphyllou
Languange Used : English, France, Spanish, Italia and chinese
Page : 786
Isbn : 981277985X
Identifier : 9789812779854
Release : 2008-01
Publisher by : World Scientific
Category : Computers
Total Download : 6478064
Total Read : 9665935
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Description : Read Now Recent Advances In Data Mining Of Enterprise Data by Thunshun Warren Liao, Evangelos Triantaphyllou and you can download with pub, pdf, txt, doc, and more file format with free account. the main goal of the new field of data mining is the analysis of large and complex datasets. some very important datasets may be derived from business and industrial activities. this kind of data is known as ?enterprise data?. the common characteristic of such datasets is that the analyst wishes to analyze them for the purpose of designing a more cost-effective strategy for optimizing some type of performance measure, such as reducing production time, improving quality, eliminating wastes, or maximizing profit. data in this category may describe different scheduling scenarios in a manufacturing environment, quality control of some process, fault diagnosis in the operation of a machine or process, risk analysis when issuing credit to applicants, management of supply chains in a manufacturing system, or data for business related decision-making.

Advances in Machine Learning and Data Mining for Astronomy

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Author by : Michael J. Way, Jeffrey D. Scargle, Kamal M. Ali, Ashok N. Srivastava
Languange Used : English, France, Spanish, Italia and chinese
Page : 744
Isbn : 143984173X
Identifier : 9781439841730
Release : 2012-03-29
Publisher by : CRC Press
Category : Computers
Total Download : 4996608
Total Read : 269235
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Description : Read Now Advances In Machine Learning And Data Mining For Astronomy by Michael J. Way, Jeffrey D. Scargle, Kamal M. Ali, Ashok N. Srivastava and you can download with pub, pdf, txt, doc, and more file format with free account. advances in machine learning and data mining for astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. due to the massive amount and complexity of data in most scientific disciplines, the material discussed in this text transcends traditional boundaries between various areas in the sciences and computer science. the book’s introductory part provides context to issues in the astronomical sciences that are also important to health, social, and physical sciences, particularly probabilistic and statistical aspects of classification and cluster analysis. the next part describes a number of astrophysics case studies that leverage a range of machine learning and data mining technologies. in the last part, developers of algorithms and practitioners of machine learning and data mining show how these tools and techniques are used in astronomical applications. with contributions from leading astronomers and computer scientists, this book is a practical guide to many of the most important developments in machine learning, data mining, and statistics. it explores how these advances can solve current and future problems in astronomy and looks at how they could lead to the creation of entirely new algorithms within the data mining community.

Advances in Data Mining. Applications and Theoretical Aspects

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Author by : Petra Perner
Languange Used : English, France, Spanish, Italia and chinese
Page :
Isbn : 3319957864
Identifier : 9783319957869
Release :
Publisher by : Springer
Category :
Total Download : 8971369
Total Read : 1564867
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Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends New Trends

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Author by : Taniar, David
Languange Used : English, France, Spanish, Italia and chinese
Page : 465
Isbn : 1613504756
Identifier : 9781613504758
Release : 2011-12-31
Publisher by : IGI Global
Category : Computers
Total Download : 4627484
Total Read : 8535706
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Description : Read Now Exploring Advances In Interdisciplinary Data Mining And Analytics New Trends by Taniar, David and you can download with pub, pdf, txt, doc, and more file format with free account. "this book is an updated look at the state of technology in the field of data mining and analytics offering the latest technological, analytical, ethical, and commercial perspectives on topics in data mining"--provided by publisher.

Mining Massive Data Sets for Security Advances in Data Mining, Search, Social Networks and Text Mining, and Their Applications to Security

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Author by : Françoise Fogelman-Soulié
Languange Used : English, France, Spanish, Italia and chinese
Page : 377
Isbn : 1586038982
Identifier : 9781586038984
Release : 2008-01-01
Publisher by : IOS Press
Category : Computers
Total Download : 308422
Total Read : 4189760
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Description : Read Now Mining Massive Data Sets For Security by Françoise Fogelman-Soulié and you can download with pub, pdf, txt, doc, and more file format with free account. the real power for security applications will come from the synergy of academic and commercial research focusing on the specific issue of security. special constraints apply to this domain, which are not always taken into consideration by academic research, but are critical for successful security applications: large volumes: techniques must be able to handle huge amounts of data and perform 'on-line' computation; scalability: algorithms must have processing times that scale well with ever growing volumes; automation: the analysis process must be automated so that information extraction can 'run on its own'; ease of use: everyday citizens should be able to extract and assess the necessary information; and robustness: systems must be able to cope with data of poor quality (missing or erroneous data). the nato advanced study institute (asi) on mining massive data sets for security, held in italy, september 2007, brought together around ninety participants to discuss these issues. this publication includes the most important contributions, but can of course not entirely reflect the lively interactions which allowed the participants to exchange their views and share their experience. the bridge between academic methods and industrial constraints is systematically discussed throughout. this volume will thus serve as a reference book for anyone interested in understanding the techniques for handling very large data sets and how to apply them in conjunction for solving security issues.

Author by : Rozaida Ghazali, Mustafa Mat Deris, Nazri Mohd Nawi, Jemal H. Abawajy
Languange Used : English, France, Spanish, Italia and chinese
Page : 518
Isbn : 3319725505
Identifier : 9783319725505
Release : 2018-01-11
Publisher by : Springer
Category : Computers
Total Download : 8339897
Total Read : 2039719
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Description : Read Now Recent Advances On Soft Computing And Data Mining by Rozaida Ghazali, Mustafa Mat Deris, Nazri Mohd Nawi, Jemal H. Abawajy and you can download with pub, pdf, txt, doc, and more file format with free account. this book offers a systematic overview of the concepts and practical techniques that readers need to get the most out of their large-scale data mining projects and research studies. it guides them through the data-analytical thinking essential to extract useful information and obtain commercial value from the data. presenting the outcomes of international conference on soft computing and data mining (scdm-2017), held in johor, malaysia on february 6–8, 2018, it provides a well-balanced integration of soft computing and data mining techniques. the two constituents are brought together in various combinations of applications and practices. to thrive in these data-driven ecosystems, researchers, engineers, data analysts, practitioners, and managers must understand the design choice and options of soft computing and data mining techniques, and as such this book is a valuable resource, helping readers solve complex benchmark problems and better appreciate the concepts, tools, and techniques employed.

Advances in Data Mining. Applications and Theoretical Aspects 17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings

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Author by : Petra Perner
Languange Used : English, France, Spanish, Italia and chinese
Page : 346
Isbn : 3319627015
Identifier : 9783319627014
Release : 2017-06-30
Publisher by : Springer
Category : Computers
Total Download : 6072872
Total Read : 4511107
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Description : Read Now Advances In Data Mining Applications And Theoretical Aspects by Petra Perner and you can download with pub, pdf, txt, doc, and more file format with free account. this book constitutes the refereed proceedings of the 17th industrial conference on advances in data mining, icdm 2017, held in new york, ny, usa, in july 2017. the 27 revised full papers presented were carefully reviewed and selected from 71 submissions. the topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine, and in process control in industry and society.

Visual and Spatial Analysis Advances in Data Mining, Reasoning, and Problem Solving

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Author by : Boris Kovalerchuk, James Schwing
Languange Used : English, France, Spanish, Italia and chinese
Page : 576
Isbn : 1402029586
Identifier : 9781402029585
Release : 2007-11-06
Publisher by : Springer Science & Business Media
Category : Computers
Total Download : 9105831
Total Read : 2359437
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Description : Read Now Visual And Spatial Analysis by Boris Kovalerchuk, James Schwing and you can download with pub, pdf, txt, doc, and more file format with free account. advanced visual analysis and problem solving has been conducted successfully for millennia. the pythagorean theorem was proven using visual means more than 2000 years ago. in the 19th century, john snow stopped a cholera epidemic in london by proposing that a specific water pump be shut down. he discovered that pump by visually correlating data on a city map. the goal of this book is to present the current trends in visual and spatial analysis for data mining, reasoning, problem solving and decision-making. this is the first book to focus on visual decision making and problem solving in general with specific applications in the geospatial domain - combining theory with real-world practice. the book is unique in its integration of modern symbolic and visual approaches to decision making and problem solving. as such, it ties together much of the monograph and textbook literature in these emerging areas. this book contains 21 chapters that have been grouped into five parts: (1) visual problem solving and decision making, (2) visual and heterogeneous reasoning, (3) visual correlation, (4) visual and spatial data mining, and (5) visual and spatial problem solving in geospatial domains. each chapter ends with a summary and exercises. the book is intended for professionals and graduate students in computer science, applied mathematics, imaging science and geospatial information systems (gis). in addition to being a state-of-the-art research compilation, this book can be used a text for advanced courses on the subjects such as modeling, computer graphics, visualization, image processing, data mining, gis, and algorithm analysis.

Big Data Management, Technologies, and Applications

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Author by : Hu, Wen-Chen
Languange Used : English, France, Spanish, Italia and chinese
Page : 342
Isbn : 1466647000
Identifier : 9781466647008
Release : 2013-10-31
Publisher by : IGI Global
Category : Computers
Total Download : 2051573
Total Read : 9870880
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Description : Read Now Big Data Management Technologies And Applications by Hu, Wen-Chen and you can download with pub, pdf, txt, doc, and more file format with free account. "this book discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data"--provided by publisher.

Data Mining in E-learning

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Author by : Cristobal Romero, Sebastian Ventura
Languange Used : English, France, Spanish, Italia and chinese
Page : 300
Isbn : 1845641523
Identifier : 9781845641528
Release : 2006-01
Publisher by : WIT Press
Category : Computers
Total Download : 7099796
Total Read : 9751572
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Description : Read Now Data Mining In E Learning by Cristobal Romero, Sebastian Ventura and you can download with pub, pdf, txt, doc, and more file format with free account. the development of e-learning systems, particularly, web-based education systems, has increased exponentially in recent years. following this line, one of the most promising areas is the application of knowledge extraction. as one of the first of its kind, this book presents an introduction to e-learning systems, data mining concepts and the interaction between both areas.

Foundations and Advances in Data Mining

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Author by : Wesley Chu, Tsau Young Lin
Languange Used : English, France, Spanish, Italia and chinese
Page : 342
Isbn : 9783540250579
Identifier : 3540250573
Release : 2005-09-15
Publisher by : Springer Science & Business Media
Category : Computers
Total Download : 1279887
Total Read : 4841672
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Description : Read Now Foundations And Advances In Data Mining by Wesley Chu, Tsau Young Lin and you can download with pub, pdf, txt, doc, and more file format with free account. with the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. thus, there is a critical need to understand the content of the data. as a result, data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. in this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. it brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. the presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.

Data Mining in Finance Advances in Relational and Hybrid Methods

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Author by : Boris Kovalerchuk, Evgenii Vityaev
Languange Used : English, France, Spanish, Italia and chinese
Page : 308
Isbn : 0306470187
Identifier : 9780306470189
Release : 2006-04-18
Publisher by : Springer Science & Business Media
Category : Computers
Total Download : 3511727
Total Read : 2982141
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Description : Read Now Data Mining In Finance by Boris Kovalerchuk, Evgenii Vityaev and you can download with pub, pdf, txt, doc, and more file format with free account. data mining in finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. the book focuses specifically on relational data mining (rdm), which is a learning method able to learn more expressive rules than other symbolic approaches. rdm is thus better suited for financial mining, because it is able to make greater use of underlying domain knowledge. relational data mining also has a better ability to explain the discovered rules - an ability critical for avoiding spurious patterns which inevitably arise when the number of variables examined is very large. the earlier algorithms for relational data mining, also known as inductive logic programming (ilp), suffer from a relative computational inefficiency and have rather limited tools for processing numerical data. data mining in finance introduces a new approach, combining relational data mining with the analysis of statistical significance of discovered rules. this reduces the search space and speeds up the algorithms. the book also presents interactive and fuzzy-logic tools for `mining' the knowledge from the experts, further reducing the search space. data mining in finance contains a number of practical examples of forecasting s&p 500, exchange rates, stock directions, and rating stocks for portfolio, allowing interested readers to start building their own models. this book is an excellent reference for researchers and professionals in the fields of artificial intelligence, machine learning, data mining, knowledge discovery, and applied mathematics.

Modern Technologies for Big Data Classification and Clustering

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Author by : Seetha, Hari, Murty, M. Narasimha, Tripathy, B. K.
Languange Used : English, France, Spanish, Italia and chinese
Page : 360
Isbn : 1522528067
Identifier : 9781522528067
Release : 2017-07-12
Publisher by : IGI Global
Category : Computers
Total Download : 5017183
Total Read : 3667070
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Description : Read Now Modern Technologies For Big Data Classification And Clustering by Seetha, Hari, Murty, M. Narasimha, Tripathy, B. K. and you can download with pub, pdf, txt, doc, and more file format with free account. data has increased due to the growing use of web applications and communication devices. it is necessary to develop new techniques of managing data in order to ensure adequate usage. modern technologies for big data classification and clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provide information about the new technologies developed for the management of large data. featuring coverage on a broad range of topics such as text and web data analytics, risk analysis, and opinion mining, this publication is ideally designed for professionals, researchers, and students seeking current research on various concepts of big data analytics.