000 04659nam a22005655i 4500
001 978-0-387-47534-9
003 DE-He213
005 20161121230609.0
007 cr nn 008mamaa
008 100301s2007 xxu| s |||| 0|eng d
020 _a9780387475349
_9978-0-387-47534-9
024 7 _a10.1007/978-0-387-47534-9
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
082 0 4 _a006.312
_223
245 1 0 _aData Streams
_h[electronic resource] :
_bModels and Algorithms /
_cedited by Charu C. Aggarwal.
264 1 _aBoston, MA :
_bSpringer US,
_c2007.
300 _aXVIII, 354 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Database Systems,
_x1386-2944 ;
_v31
505 0 _aAn Introduction to Data Streams -- On Clustering Massive Data Streams: A Summarization Paradigm -- A Survey of Classification Methods in Data Streams -- Frequent Pattern Mining in Data Streams -- A Survey of Change Diagnosis Algorithms in Evolving Data Streams -- Multi-Dimensional Analysis of Data Streams Using Stream Cubes -- Load Shedding in Data Stream Systems -- The Sliding-Window Computation Model and Results -- A Survey of Synopsis Construction in Data Streams -- A Survey of Join Processing in Data Streams -- Indexing and Querying Data Streams -- Dimensionality Reduction and Forecasting on Streams -- A Survey of Distributed Mining of Data Streams -- Algorithms for Distributed Data Stream Mining -- A Survey of Stream Processing Problems and Techniques in Sensor Networks.
520 _aIn recent years, the progress in hardware technology has made it possible for organizations to store and record large streams of transactional data. Such data sets which continuously and rapidly grow over time are referred to as data streams. Data Streams: Models and Algorithms primarily discusses issues related to the mining aspects of data streams rather than the database management aspect of streams. This volume covers mining aspects of data streams in a comprehensive style. Each contributed chapter, from a variety of well known researchers in the data mining field, contains a survey on the topic, the key ideas in the field from that particular topic, and future research directions. Data Streams: Models and Algorithms is intended for a professional audience composed of researchers and practitioners in industry. This book is also appropriate for graduate-level students in computer science. Charu C. Aggarwal obtained his B.Tech in Computer Science from IIT Kanpur in 1993 and Ph.D. from MIT in 1996. He has been a Research Staff Member at IBM since then, and has published over 90 papers in major conferences and journals in the database and data mining field. He has applied for, or been granted, over 50 US and International patents, and has twice been designated Master Inventor at IBM for the commercial value of his patents. He has been granted 14 invention achievement awards by IBM for his patents. His work on real time bio-terrorist threat detection in data streams won the IBM Epispire award for environmental excellence in 2003. He has served on the program committee of most major database conferences, and was program chair for the Data Mining and Knowledge Discovery Workshop, 2003, and a program vice-chair for the SIAM Conference on Data Mining, 2007. He is an associate editor of the IEEE Transactions on Data Engineering and an action editor of the Data Mining and Knowledge Discovery Journal. He is a senior member of the IEEE.
650 0 _aComputer science.
650 0 _aComputer communication systems.
650 0 _aDatabase management.
650 0 _aData mining.
650 0 _aInformation storage and retrieval.
650 0 _aMultimedia information systems.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aDatabase Management.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aMultimedia Information Systems.
650 2 4 _aComputer Communication Networks.
700 1 _aAggarwal, Charu C.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387287591
830 0 _aAdvances in Database Systems,
_x1386-2944 ;
_v31
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-47534-9
912 _aZDB-2-SCS
950 _aComputer Science (Springer-11645)
999 _c501119
_d501119