Tag data-stream [58 articles] Export

Recent papers classified by the tag data-stream.

	Clustering Data Streams [My Copy] (2000), pp. 359-366. by Sudipto Guha, Nina Mishra, Rajeev Motwani, Liadan O'callaghan posted to clustering data-stream by arsyed on 2009-08-10 02:31:17 as along with 3 people kawamoto surajitray ancechu
	StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time [My Copy] In In VLDB (2002), pp. 358-369. by Yunyue Zhu, Dennis Shasha, Yunyue Zhu Dennis Shasha posted to data-stream monitoring real-time statistics by arsyed on 2009-08-10 02:30:52 as
	Mining concept-drifting data streams using ensemble classifiers [My Copy] In KDD '03: Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining (2003), pp. 226-235. by Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han posted to data-mining data-stream ensemble by arsyed on 2009-08-08 17:10:19 as
	Online clustering of parallel data streams [My Copy] Data Knowl. Eng., Vol. 58, No. 2. (August 2006), pp. 180-204. by Jürgen Beringer, Eyke Hüllermeier posted to clustering data-mining data-stream by arsyed on 2009-08-08 17:09:23 as along with 2 people sona Nightscape
	Adaptive, hands-off stream mining [My Copy] In VLDB '2003: Proceedings of the 29th international conference on Very large data bases (2003), pp. 560-571. by Spiros Papadimitriou, Anthony Brockwell, Christos Faloutsos posted to adaptive data-mining data-stream by arsyed on 2009-08-08 17:06:41 as
	Clustering Data Streams: Theory and Practice [My Copy] IEEE Transactions on Knowledge and Data Engineering, Vol. 15, No. 3. (March 2003), pp. 515-528. by Sudipto Guha, Adam Meyerson, Nina Mishra, Rajeev Motwani, Liadan O'Callaghan posted to clustering data-processing data-stream dataflows information-processing streams by Scis0000002 on 2009-07-15 17:48:10 as along with 3 people Lestropie kawamoto arsyed
	An Adaptive Nearest Neighbor Classification Algorithm for Data Streams [My Copy] Knowledge Discovery in Databases: PKDD 2005 (2005), pp. 108-120. by Yan-Nei Law, Carlo Zaniolo posted to data-mining data-stream by arsyed on 2009-06-05 13:50:20 as
	Cost-efficient mining techniques for data streams [My Copy] In ACSW Frontiers '04: Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation (2004), pp. 109-114. by Mohamed M. Gaber, Shonali Krishnaswamy, Arkady Zaslavsky posted to data-mining data-stream by arsyed on 2009-06-05 13:34:53 as
	On-board Mining of Data Streams in Sensor Networks [My Copy] Advanced Methods for Knowledge Discovery from Complex Data (2005), pp. 307-335. by Mohamed Gaber, Shonali Krishnaswamy, Arkady Zaslavsky posted to data-mining data-stream by arsyed on 2009-06-05 13:29:46 as
	Online classification of nonstationary data streams [My Copy] Intell. Data Anal., Vol. 6, No. 2. (2002), pp. 129-147. by Mark Last posted to classification data-mining data-stream by arsyed on 2009-06-05 13:13:43 as
	Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams [My Copy] Distributed and Parallel Databases, Vol. 18, No. 2. (1 September 2005), pp. 173-197. by Jiawei Han, Yixin Chen, Guozhu Dong, et al.Jian Pei, Benjamin Wah, Jianyong Wang, Y. Cai posted to cube data-mining data-stream olap by arsyed on 2009-05-29 21:23:04 as
	Statistical mining in data streams [My Copy] (2006) by Ankur Jain posted to data-mining data-stream machine-learning statistics by arsyed on 2009-05-29 21:21:50 as
	Requirements for clustering data streams [My Copy] SIGKDD Explor. Newsl., Vol. 3, No. 2. (January 2002), pp. 23-27. by Daniel Barbará posted to clustering data-mining data-stream requirements by arsyed on 2009-05-29 21:20:52 as along with 1 person Nightscape
	Models and issues in data stream systems [My Copy] In PODS '02: Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems (2002), pp. 1-16. by Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev Motwani, Jennifer Widom posted to data-mining data-stream models by arsyed on 2009-05-29 21:19:45 as along with 5 people gvdh menjo carueda mcoloberti rclemente
	Mining data streams: a review [My Copy] SIGMOD Rec., Vol. 34, No. 2. (June 2005), pp. 18-26. by Mohamed M. Gaber, Arkady Zaslavsky, Shonali Krishnaswamy posted to data-mining data-stream review by arsyed on 2009-05-29 21:18:34 as along with 9 people Jingbo longtop pbk sugarexpletive eddymier ariskou fheintz clipse jjrodriguez
	MAIDS: Mining Alarming Incidents from Data Streams [My Copy] by Dora C. David, David Clutter, Greg Pape, Jiawei Han, Michael Welge posted to anomaly-detection data-mining data-stream network-intrusion by arsyed on 2009-05-29 21:17:21 as
	Future trends in data mining [My Copy] Data Mining and Knowledge Discovery, Vol. 15, No. 1. (August 2007), pp. 87-97. by Hans-Peter Kriegel, Karsten Borgwardt, Peer Kroger, Alexey Pryakhin, Matthias Schubert, Arthur Zimek posted to data-mining data-stream research trends by arsyed on 2009-05-29 21:15:25 as along with 3 people chrisd silberbauer eddymier
	A Framework for Clustering Evolving Data Streams [My Copy] In In VLDB (2003), pp. 81-92. by Charu C. Aggarwal, T. J. Watson, Resch Ctr, Jiawei Han, Jianyong Wang, Philip S. Yu posted to clustering data-mining data-stream by arsyed on 2009-05-29 21:06:11 as
	An intuitive framework for understanding changes in evolving data streams [My Copy] Data Engineering, 2002. Proceedings. 18th International Conference on In Data Engineering, 2002. Proceedings. 18th International Conference on (2002), 261. by C. C. Aggarwal posted to change-detection data-mining data-stream by arsyed on 2009-05-29 20:58:14 as
	High-Availability Algorithms for Distributed Stream Processing [My Copy] In ICDE '05: Proceedings of the 21st International Conference on Data Engineering (2005), pp. 779-790. by Jeong H. Hwang, Magdalena Balazinska, Alexander Rasin, Ugur Cetintemel, Michael Stonebraker, Stan Zdonik posted to 2005 data-stream icde recovery by mogwaing on 2009-03-15 13:47:25 as
	Finding (recently) frequent items in distributed data streams [My Copy] Data Engineering, 2005. ICDE 2005. Proceedings. 21st International Conference on In Data Engineering, 2005. ICDE 2005. Proceedings. 21st International Conference on (2005), pp. 767-778. by A. Manjhi, V. Shkapenyuk, K. Dhamdhere, C. Olston posted to 2005 data-stream icde by mogwaing on 2009-03-15 10:22:07 as
	Stabbing the sky: efficient skyline computation over sliding windows [My Copy] Data Engineering, 2005. ICDE 2005. Proceedings. 21st International Conference on In Data Engineering, 2005. ICDE 2005. Proceedings. 21st International Conference on (2005), pp. 502-513. by Xuemin Lin, Yidong Yuan, Wei Wang, Hongjun Lu posted to 2005 data-stream icde skyline-query by mogwaing on 2009-03-15 10:08:41 as
	A Unified Framework for Monitoring Data Streams in Real Time [My Copy] In ICDE '05: Proceedings of the 21st International Conference on Data Engineering (2005), pp. 44-55. by Ahmet Bulut, Ambuj K. Singh posted to 2005 data-stream icde by mogwaing on 2009-03-15 02:58:48 as
	Remembrance of streams past: overload-sensitive management of archived streams [My Copy] In VLDB '04: Proceedings of the Thirtieth international conference on Very large data bases (2004), pp. 348-359. by Sirish Chandrasekaran, Michael Franklin posted to 2004 data-stream vldb by mogwaing on 2009-03-14 05:36:59 as
	WIC: a general-purpose algorithm for monitoring web information sources [My Copy] In VLDB '04: Proceedings of the Thirtieth international conference on Very large data bases (2004), pp. 360-371. by Sandeep Pandey, Kedar Dhamdhere, Christopher Olston posted to 2004 data-stream vldb by mogwaing on 2009-03-14 05:36:22 as
	Resource sharing in continuous sliding-window aggregates [My Copy] In VLDB '04: Proceedings of the Thirtieth international conference on Very large data bases (2004), pp. 336-347. by Arvind Arasu, Jennifer Widom posted to 2004 data-stream vldb by mogwaing on 2009-03-14 05:34:29 as
	Memory-limited execution of windowed stream joins [My Copy] In VLDB '04: Proceedings of the Thirtieth international conference on Very large data bases (2004), pp. 324-335. by Utkarsh Srivastava, Jennifer Widom posted to 2004 data-stream vldb by mogwaing on 2009-03-14 05:32:15 as
	Mining time-changing data streams [My Copy] In KDD '01: Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining (2001), pp. 97-106. by Geoff Hulten, Laurie Spencer, Pedro Domingos posted to data-mining data-stream concept-drift time-series by arsyed on 2009-02-27 03:37:13 as along with 3 people and 1 group tmancill rlichten jjrodriguez Incremental Learning
	The impact of changing populations on classifier performance [My Copy] In KDD '99: Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining (1999), pp. 367-371. by Mark G. Kelly, David J. Hand, Niall M. Adams posted to distributions data-stream population-drift concept-drift machine-learning by arsyed on 2009-02-27 03:34:47 as along with 2 people rlichten wryun
	Data streams: algorithms and applications [My Copy] (2003) by S. Muthukrishnan posted to algorithms intro data-stream by arsyed on 2009-02-27 03:15:02 as along with 3 people and 1 group rahul boila jkominek SRL
	Bursty and Hierarchical Structure in Streams [My Copy] Data Mining and Knowledge Discovery, Vol. V7, No. 4. (1 October 2003), pp. 373-397. by Jon Kleinberg posted to markov modeling data-mining data-stream text-mining by arsyed on 2009-02-27 03:13:17 as along with 3 people Scis0000002 bigbossman pprett
	Temporal Dynamics of On-Line Information [My Copy] by Streams J. Kleinberg posted to dynamics information temporal data-stream machine-learning time-series by arsyed on 2009-02-27 03:11:00 as along with 1 person scis0000001
	Streaming for Dummies [My Copy] by Stan Zdonik, Peter Sibley, Alexander Rasin, et al.Victoria Sweetser, Philip Montgomery, Jenine Turner, John Wicks, Alexander Zgolinski, Derek Snyder, Mark Humphrey, Charles Williamson posted to database data-stream by arsyed on 2009-02-27 03:07:06 as along with 2 people scis0000001 mava
	Streaming pattern discovery in multiple time-series [My Copy] (2005) by S. Papadimitriou, J. Sun, C. Faloutsos posted to data-mining data-stream time-series by arsyed on 2009-02-27 03:06:04 as along with 2 people scis0000001 meirc
	An Improved Data Stream Summary: The Count-Min Sketch and Its Applications [My Copy] LATIN 2004: Theoretical Informatics (2004), pp. 29-38. by Graham Cormode, S. Muthukrishnan posted to statistics data-stream by arsyed on 2009-02-27 03:03:51 as along with 4 people kamotaku78 ariskou mdreid michaelmampaey
	Just-in-Time Adaptive Classifiers; Part I: Detecting Nonstationary Changes [My Copy] Neural Networks, IEEE Transactions on In Neural Networks, IEEE Transactions on, Vol. 19, No. 7. (2008), pp. 1145-1153. by C. Alippi, M. Roveri posted to data-stream change-detection concept-drift machine-learning by arsyed on 2009-02-27 02:56:39 as along with 2 people sdvillal jjrodriguez
	Monitoring streams: a new class of data management applications [My Copy] In VLDB '02: Proceedings of the 28th international conference on Very Large Data Bases (2002), pp. 215-226. by Don Carney, Ugur \ccetintemel, Mitch Cherniack, et al.Christian Convey, Sangdon Lee, Greg Seidman, Michael Stonebraker, Nesime Tatbul, Stan Zdonik posted to aurora database data-stream by arsyed on 2009-02-27 02:50:58 as along with 3 people pbk dexter_shen menjo
	Issues in data stream management [My Copy] SIGMOD Rec., Vol. 32, No. 2. (June 2003), pp. 5-14. by Lukasz Golab, M. Tamer özsu posted to data-mining data-stream database by arsyed on 2009-02-27 02:48:35 as along with 10 people and 1 group mathiy50 dexter_shen ariskou carueda fsilvestri fheintz pancher mcoloberti tulaydemir rclemente InformationRetrieval
	Modeling skew in data streams [My Copy] In SIGMOD '06: Proceedings of the 2006 ACM SIGMOD international conference on Management of data (2006), pp. 181-192. by Flip Korn, S. Muthukrishnan, Yihua Wu posted to distributions skewed statistics data-stream by arsyed on 2009-02-27 02:41:28 as along with 1 person rlichten
	Models and issues in data stream systems [My Copy] In In PODS (2002), pp. 1-16. by Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev Motwani, Jennifer Widom posted to data-stream by arsyed on 2009-02-27 02:40:25 as along with 1 person dexter_shen
	Mining concept-drifting data streams using ensemble classifiers [My Copy] In KDD '03: Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining (2003), pp. 226-235. by Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han posted to data-stream concept-drift machine-learning by arsyed on 2009-02-27 02:30:51 as along with 4 people pbk jjrodriguez rlichten tsoumakas
	Systematic data selection to mine concept-drifting data streams [My Copy] In KDD '04: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining (2004), pp. 128-137. by Wei Fan posted to data-stream concept-drift machine-learning by arsyed on 2009-02-27 02:29:42 as along with 1 person rlichten
	The Problem of Concept Drift: Definitions and Related Work [My Copy] (2004) by Alexey Tsymbal posted to reqmon data-mining data-stream concept-drift machine-learning by arsyed on 2009-02-24 20:00:24 as along with 2 people nmsx jrcoffi
	A general framework for mining concept-drifting data streams with skewed distributions [My Copy] In In Proc. SDM’07 by Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu posted to reqmon skewed data-mining data-stream concept-drift by arsyed on 2009-02-24 19:47:31 as along with 1 person rlichten
	A Hidden Markov Model-based approach to sequential data clustering [My Copy] (2002) by A. Panuccio, M. Bicego, V. Murino posted to clustering hmm markov data-mining data-stream by arsyed on 2009-02-15 10:42:01 as along with 1 person boussemart
	Clustering Text Data Streams [My Copy] Journal of Computer Science and Technology, Vol. 23, No. 1. (31 January 2008), pp. 112-128. by Yu-Bao Liu, Jia-Rong Cai, Jian Yin, Ada Fu posted to data-stream by agulli on 2008-09-28 10:39:46 as along with 1 person katja
	Bursty and hierarchical structure in streams [My Copy] In KDD '02: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining (2002), pp. 91-101. by Jon Kleinberg posted to data-stream next-generation search-algorithms by donade on 2008-05-01 18:51:04 as along with 8 people and 4 groups EvanXW menjo ssn ChaTo manuelpq griota furykerry markymaypo Personal-Information-Management DialogueResearchGroup ARTFL Community_SSTZ
	The space complexity of approximating the frequency moments [My Copy] In STOC '96: Proceedings of the twenty-eighth annual ACM symposium on Theory of computing (1996), pp. 20-29. by Noga Alon, Yossi Matias, Mario Szegedy posted to data-stream space-complexity by boila on 2007-09-05 16:31:34 as along with 3 people and 1 group web03 education01 rahul SRL
	Space lower bounds for distance approximation in the data stream model [My Copy] In STOC '02: Proceedings of the thiry-fourth annual ACM symposium on Theory of computing (2002), pp. 360-369. by Michael Saks, Xiaodong Sun posted to communication-complexity data-stream space-lower-bounds by boila on 2007-09-05 14:49:38 as along with 1 person geomblog
	Computing on data streams [My Copy] (1998) by M. Henzinger, P. Raghavan, S. Rajagopalan posted to data-stream space-lower-bounds by boila on 2007-09-05 14:47:34 as along with 2 people and 1 group rahul Nightscape SRL

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data-mining	42
clustering	12
concept-drift	12
machine-learning	12
statistics	6
2004	4
2005	4
icde	4
reqmon	4
vldb	4
algorithm	3
change-detection	3
database	3
distributions	3
skewed	3
space-lower-bounds	3
time-series	3
adaptive	2
anomaly-detection	2
classification	2
cube	2
ensemble	2
markov	2
models	2
monitoring	2
network-analysis	2
network-intrusion	2
olap	2
population-drift	2
real-time	2
requirements	2
research	2
review	2
trends	2
algorithms	1
aurora	1
communication-complexity	1
data-processing	1
dataflows	1
dynamics	1
graph-algorithm	1
hmm	1
information	1
information-processing	1
intro	1
massive-graph	1
modeling	1
next-generation	1
recovery	1
search-algorithms	1
skyline-query	1
space-complexity	1
streams	1
temporal	1
text-mining	1
triangles	1
wavelets	1

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