Next Generation of Data Mining
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. Gathe...
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CRC Press
2009
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| Truy cập trực tuyến: | http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1673 |
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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. |
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Book |
| author |
Kumar, Vipin Motwani, Rajeev |
| spellingShingle |
Kumar, Vipin Motwani, Rajeev Next Generation of Data Mining |
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Kumar, Vipin Motwani, Rajeev |
| author_sort |
Kumar, Vipin |
| title |
Next Generation of Data Mining |
| title_short |
Next Generation of Data Mining |
| title_full |
Next Generation of Data Mining |
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Next Generation of Data Mining |
| title_full_unstemmed |
Next Generation of Data Mining |
| title_sort |
next generation of data mining |
| publisher |
CRC Press |
| publishDate |
2009 |
| url |
http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1673 |
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1757664765923033088 |
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oai:scholar.dlu.edu.vn:DLU123456789-16732009-12-04T03:01:42Z Next Generation of Data Mining Kumar, Vipin Motwani, Rajeev 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. ata Mining in e-Science and Engineering Research Challenges for Data Mining in Science and Engineering Jiawei Han and Jing Gao Detecting Ecosystem Disturbances and Land Cover Change Using Data Mining Shyam Boriah, Vipin Kumar, Michael Steinbach, Pang-Ning Tan, Christopher Potter, and Steven Klooster Efficient Data-Mining Methods Enabling Genome-Wide Computing Wei Wang, Leonard McMillan, David Threadgill, and Fernando Pardo-Manuel de Villena Mining Frequent Approximate Sequential Patterns Feida Zhu, Xifeng Yan, Jiawei Han, and Philip S. Yu Scientific Data Mining in Astronomy Kirk D. Borne Ubiquitous, Distributed, and High Performance Data Mining Thoughts on Human Emotions, Breakthroughs in Communication, and the Next Generation of Data Mining Hillol Kargupta Research Challenges in Ubiquitous Knowledge Discovery Michael May, Bettina Berendt, Antoine Cornuéjols, João Gama, Fosca Giannotti, Andreas Hotho, Donato Malerba, Ernestina Menesalvas, Katharina Morik, Rasmus Pedersen, Lorenza Saitta, Yücel Saygin, Assaf Schuster, and Koen Vanhoof High Performance Distributed Data Mining Alok Choudhary User-Centered Biological Information Location by Combining User Profiles and Domain Knowledge Jeffrey E. Stone, Xindong Wu, and Marc Greenblatt Issues and Challenges in Learning from Data Streams João Gama Service-Oriented Architectures for Distributed and Mobile Knowledge Discovery Domenico Talia and Paolo Trunfio Discovering Emergent Behavior from Network Packet Data: Lessons from the Angle Project Robert L. Grossman, Michael Sabala, Yunhong Gu, Anushka Anand, Matt Handley, Rajmonda Sulo, and Lee Wilkinson Architecture Conscious Data Mining: Current Progress and Future Outlook Srinivasan Parthasarathy, Shirish Tatikonda, Gregory Buehrer, and Amol Ghoting The Web, Semantics, and Text Data Mining Web 2.0 Mining: Analyzing Social Media Anupam Joshi, Tim Finin, Akshay Java, Anubhav Kale, and Pranam Kolari Searching for "Familiar Strangers" on Blogosphere Nitin Agarwal, Huan Liu, John Salerno, and Philip S. Yu Toward Semantics-Enabled Infrastructure for Knowledge Acquisition from Distributed Data Vasant Honavar and Doina Caragea Nonnegative Matrix Factorization for Document Classification Amy N. Langville and Michael W. Berry Data Mining in Security, Surveillance, and Privacy Protection Is Privacy Still an Issue for Data Mining? Chris Clifton, Wei Jiang, Mummoorthy Murugesan, and M. Ercan Nergiz Analysis of Social Networks and Group Dynamics from Electronic Communication Nishith Pathak, Sandeep Mane, Jaideep Srivastava, Noshir Contractor, Scott Poole, and Dmitri Williams Challenges for Dynamic Heterogeneous Networks in Observational Sciences Lisa Singh Privacy-Preserving Data Analysis on Graphs and Social Networks Kun Liu, Kamalika Das, Tyrone Grandison, and Hillol Kargupta Medicine, Social Science, Finance, and Spatial Data Mining Risk Mining as New Trends in Hospital Management Shusaku Tsumoto and Shojir Hirano Challenges for Information Discovery on Electronic Medical Records Vagelis Hristidis, Fernando Farfán, Redmond P. Burke, Anthony F. Rossi, and Jeffrey A. White Market-Based Profile Infrastructure: Giving Back to the User Olfa Nasraoui and Maha Soliman Challenges in Mining Financial Data James E. Gentle Spatial and Spatiotemporal Data Mining: Recent Advances Shashi Shekhar, Ranga Raju Vatsavai, and Mete Celik Index 2009-12-04T03:01:42Z 2009-12-04T03:01:42Z 2008 Book http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1673 en application/rar CRC Press |