PDF Ebook Frequent Pattern Mining From Springer
If you still really feel puzzled to pick guide as well as you have no concept regarding just what kind of book, you could consider Frequent Pattern Mining From Springer Why should be it? When you are looking a publication to be reviewed, you will check out the cover layout in the beginning, will not you? It will likewise be the way of you to be interested to see the title. The title of this publication is likewise so intriguing to read. From the title, you might be interested to read the content.
Frequent Pattern Mining From Springer
PDF Ebook Frequent Pattern Mining From Springer
The number of times we should claim that book and also reading is extremely important for individuals living? The book visibility is not just for the gotten and even supplied piled of papers. This is an extremely priceless thing that could alter people living to be much better. Also you are constantly asked to review a book and also read once again, you will really feel so challenging when informed to do it. Yeah, many people additionally feel that. Feel that it will certainly be so monotonous to review publications, from primary to grownups.
It is not secret when linking the creating skills to reading. Reading Frequent Pattern Mining From Springer will certainly make you get more sources and also resources. It is a manner in which could improve exactly how you overlook and also understand the life. By reading this Frequent Pattern Mining From Springer, you can greater than exactly what you get from various other publication Frequent Pattern Mining From Springer This is a widely known publication that is published from renowned author. Seen type the author, it can be trusted that this book Frequent Pattern Mining From Springer will provide lots of motivations, concerning the life and also experience and also every little thing within.
Checking out the book Frequent Pattern Mining From Springer by on-line can be likewise done quickly every where you are. It appears that hesitating the bus on the shelter, waiting the list for queue, or other locations feasible. This Frequent Pattern Mining From Springer could accompany you in that time. It will certainly not make you really feel bored. Besides, in this manner will certainly additionally improve your life top quality.
When getting Frequent Pattern Mining From Springer as your analysis resource, you may obtain the easy method to evoke or get it. It needs for you to choose and also download the soft documents of this referred book from the web link that we have actually given here. When everybody has actually that terrific sensation to read this publication, she or the will certainly constantly assume that reading book will certainly constantly assist them to obtain better destination. Wherever the location is for life better, this is what most likely you will certainly obtain when selecting this publication as one of your analysis resources in spending downtimes.
- Sales Rank: #2204060 in Books
- Published on: 2014-08-30
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x 1.06" w x 6.14" l, .0 pounds
- Binding: Hardcover
- 471 pages
Review
“This multiauthor volume offers a thorough review of methods in frequent pattern mining. … This volume will be an essential reference for both researchers and practitioners in data mining.” (H. Van Dyke Parunak, Computing Reviews, March, 2016)
About the Author
Charu Aggarwal is a Research Scientist at the IBM T. J. Watson Research Center in Yorktown Heights, New York. He completed his B.S. from IIT Kanpur in 1993 and his Ph.D. from Massachusetts Institute of Technology in 1996. His research interest during his Ph.D. years was in combinatorial optimization (network flow algorithms), and his thesis advisor was Professor James B. Orlin. He has since worked in the field of data mining, with particular interests in data streams, privacy, uncertain data and social network analysis. He has published over 200 papers in refereed venues and has applied for or been granted over 80 patents. Because of the commercial value of the above-mentioned patents, he has received several invention achievement awards and has thrice been designated a Master Inventor at IBM. He is a recipient of an IBM Corporate Award (2003) for his work on bio-terrorist threat detection in data streams, a recipient of the IBM Outstanding Innovation Award (2008) for his scientific contributions to privacy technology and a recipient of an IBM Research Division Award (2008) for his scientific contributions to data stream research. He has served on the program committees of most major database/data mining conferences, and served as program vice-chairs of the SIAM Conference on Data Mining, 2007, the IEEE ICDM Conference, 2007, the WWW Conference 2009, and the IEEE ICDM Conference, 2009. He served as an associate editor of the IEEE Transactions on Knowledge and Data Engineering Journal from 2004 to 2008. He is an associate editor of the ACM TKDD Journal an action editor of the Data Mining and Knowledge Discovery Journal , editor-in-chief of ACM SIGKDD Explorations and an associate editor of the Knowledge and Information Systems Journal. He is a fellow of the ACM (2013) and the IEEE (2010) for "contributions to knowledge discovery and data mining techniques". Jiawei Han received his BS from University of Science and Technology of China in 1979 and his PhD from the University of Wisconsin in Computer Science in 1985.He was a professor in the School of Computing Science at Simon Fraser University. Currently he is a professor, at the Department of Computer Science in the University of Illinois at Urbana-Champaign. He is also the Director of Information Network Academic Research Center (INARC) supported by Network Science Collaborative Technology Alliance (NSCTA) program of U.S. Army Research Lab (ARL). Han has chaired or served on over 100 program committees of international conferences and workshops, including PC co-chair of 2005 (IEEE), International Conference on Data Mining (ICDM), Americas Coordinator of 2006 International Conference on Very Large Data Bases (VLDB). He also served as the founding Editor-In-Chief of ACM Transactions on Knowledge Discovery from Data. He is an ACM fellow and an IEEE Fellow. He received the 2004 ACM SIGKDD Innovations Award and the 2005 IEEE Computer Society Technical Achievement Award. The book: Han, Kamber and Pei, "Data Mining: Concepts and Techniques" (3rd ed., Morgan Kaufmann, 2011) has been popularly used as a textbook worldwide. He was the 2009 winner of the McDowell Award, the highest technical award made by IEEE. He teaches courses CS412 - Data Mining and CS512 - Advanced Data Mining at University of Illinois, Urbana Champaign. His course CS412 - Data Mining is highly popular among students and is over-subscribed in each offering.
Frequent Pattern Mining
From Springer PDF
Frequent Pattern Mining
From Springer EPub
Frequent Pattern Mining
From Springer Doc
Frequent Pattern Mining
From Springer iBooks
Frequent Pattern Mining
From Springer rtf
Frequent Pattern Mining
From Springer Mobipocket
Frequent Pattern Mining
From Springer Kindle