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Volumn 19, Issue , 2011, Pages 477-496

A new algorithm for compressed counting with applications in Shannon entropy estimation in dynamic data

Author keywords

Data Streams; Entropy Estimation; Maximally Skewed Stable Random Projections

Indexed keywords

ALGORITHMS; DATA COMMUNICATION SYSTEMS; DATA MINING; FISHER INFORMATION MATRIX; LITHIUM;

EID: 84898482261     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (36)
  • 1
    • 12244250137 scopus 로고    scopus 로고
    • On demand classification of data streams
    • Seattle, WA
    • Charu C. Aggarwal, Jiawei Han, Jianyong Wang, and Philip S. Yu. On demand classification of data streams. In KDD, pages 503-508, Seattle, WA, 2004.
    • (2004) KDD , pp. 503-508
    • Aggarwal, C.C.1    Han, J.2    Wang, J.3    Yu, P.S.4
  • 2
    • 0029719644 scopus 로고    scopus 로고
    • The space complexity of approximating the frequency moments
    • Philadelphia, PA
    • Noga Alon, Yossi Matias, and Mario Szegedy. The space complexity of approximating the frequency moments. In STOC, pages 20-29, Philadelphia, PA, 1996.
    • (1996) STOC , pp. 20-29
    • Alon, N.1    Matias, Y.2    Szegedy, M.3
  • 3
    • 33750706196 scopus 로고    scopus 로고
    • Estimating entropy over data streams
    • Zurich, Switzerland
    • Lakshminath Bhuvanagiri and Sumit Ganguly. Estimating entropy over data streams. In ESA, pages 148-159, Zurich, Switzerland, 2006.
    • (2006) ESA , pp. 148-159
    • Bhuvanagiri, L.1    Ganguly, S.2
  • 4
    • 34547464544 scopus 로고    scopus 로고
    • Impact of packet sampling on anomaly detection metrics
    • Rio de Janeriro, Brazil
    • Daniela Brauckhoff, Bernhard Tellenbach, Arno Wagner, Martin May, and Anukool Lakhina. Impact of packet sampling on anomaly detection metrics. In IMC, pages 159-164, Rio de Janeriro, Brazil, 2006.
    • (2006) IMC , pp. 159-164
    • Brauckhoff, D.1    Tellenbach, B.2    Wagner, A.3    May, M.4    Lakhina, A.5
  • 5
    • 79953650863 scopus 로고    scopus 로고
    • Estimating entropy and entropy norm on data streams
    • Amit Chakrabarti, Khanh Do Ba, and S. Muthukrishnan. Estimating entropy and entropy norm on data streams. Internet Mathematics, 3(1):63-78, 2006.
    • (2006) Internet Mathematics , vol.3 , Issue.1 , pp. 63-78
    • Chakrabarti, A.1    Ba, K.D.2    Muthukrishnan, S.3
  • 6
    • 84969151029 scopus 로고    scopus 로고
    • A near-optimal algorithm for computing the entropy of a stream
    • New Orleans, Louisiana
    • Amit Chakrabarti, Graham Cormode, and Andrew McGregor. A near-optimal algorithm for computing the entropy of a stream. In SODA, pages 328-335, New Orleans, Louisiana, 2007.
    • (2007) SODA , pp. 328-335
    • Chakrabarti, A.1    Cormode, G.2    McGregor, A.3
  • 8
    • 78149308001 scopus 로고    scopus 로고
    • Incremental support vector machine construction
    • San Jose, CA
    • Carlotta Domeniconi and Dimitrios Gunopulos. Incremental support vector machine construction. In ICDM, pages 589-592, San Jose, CA, 2001.
    • (2001) ICDM , pp. 589-592
    • Domeniconi, C.1    Gunopulos, D.2
  • 11
    • 33244490108 scopus 로고    scopus 로고
    • Streaming and sublinear approximation of entropy and information distances
    • Miami, FL
    • Sudipto Guha, Andrew McGregor, and Suresh Venkatasubramanian. Streaming and sublinear approximation of entropy and information distances. In SODA, pages 733 - 742, Miami, FL, 2006.
    • (2006) SODA , pp. 733-742
    • Guha, S.1    McGregor, A.2    Venkatasubramanian, S.3
  • 12
    • 84877780403 scopus 로고    scopus 로고
    • Forest density estimation
    • Haifa, Israel
    • Anupam Gupta, John D. Lafferty, Han Liu, Larry A. Wasserman, and Min Xu. Forest density estimation. In COLT, pages 394-406, Haifa, Israel, 2010.
    • (2010) COLT , pp. 394-406
    • Gupta, A.1    Lafferty, J.D.2    Liu, H.3    Wasserman, L.A.4    Xu, M.5
  • 13
    • 57949089925 scopus 로고    scopus 로고
    • Sketching and streaming entropy via approximation theory
    • Nicholas J. A. Harvey, Jelani Nelson, and Krzysztof Onak. Sketching and streaming entropy via approximation theory. In FOCS, 2008a.
    • (2008) FOCS
    • Harvey, N.J.A.1    Nelson, J.2    Onak, K.3
  • 14
    • 51849161900 scopus 로고    scopus 로고
    • Streaming algorithms for estimating entropy
    • Nicholas J. A. Harvey, Jelani Nelson, and Krzysztof Onak. Streaming algorithms for estimating entropy. In ITW, 2008b.
    • (2008) ITW
    • Harvey, N.J.A.1    Nelson, J.2    Onak, K.3
  • 15
    • 0002453010 scopus 로고
    • Quantification methods of classification processes: Concept of structural α-entropy
    • M E. Havrda and F. Charvát. Quantification methods of classification processes: Concept of structural α-entropy. Kybernetika, 3:30-35, 1967.
    • (1967) Kybernetika , vol.3 , pp. 30-35
    • Havrda, M.E.1    Charvát, F.2
  • 17
    • 33746851190 scopus 로고    scopus 로고
    • Stable distributions, pseudorandom generators, embeddings, and data stream computation
    • Piotr Indyk. Stable distributions, pseudorandom generators, embeddings, and data stream computation. Journal of ACM, 53(3):307-323, 2006.
    • (2006) Journal of ACM , vol.53 , Issue.3 , pp. 307-323
    • Indyk, P.1
  • 18
    • 33847290520 scopus 로고    scopus 로고
    • Mining anomalies using traffic feature distributions
    • Philadelphia, PA
    • Anukool Lakhina, Mark Crovella, and Christophe Diot. Mining anomalies using traffic feature distributions. In SIGCOMM, pages 217-228, Philadelphia, PA, 2005.
    • (2005) SIGCOMM , pp. 217-228
    • Lakhina, A.1    Crovella, M.2    Diot, C.3
  • 19
    • 33750373763 scopus 로고    scopus 로고
    • Data streaming algorithms for estimating entropy of network traffic
    • Saint Malo, France
    • Ashwin Lall, Vyas Sekar, Mitsunori Ogihara, Jun Xu, and Hui Zhang. Data streaming algorithms for estimating entropy of network traffic. In SIGMETRICS, pages 145-156, Saint Malo, France, 2006.
    • (2006) SIGMETRICS , pp. 145-156
    • Lall, A.1    Sekar, V.2    Ogihara, M.3    Xu, J.4    Zhang, H.5
  • 20
    • 36949030233 scopus 로고    scopus 로고
    • α (0 < α ≤ 2) norm
    • San Jose, CA
    • α (0 < α ≤ 2) norm. In KDD, San Jose, CA, 2007.
    • (2007) KDD
    • Li, P.1
  • 21
    • 51849147253 scopus 로고    scopus 로고
    • α (0 < α ≤ 2) using stable random projections
    • San Francisco, CA
    • α (0 < α ≤ 2) using stable random projections. In SODA, pages 10 - 19, San Francisco, CA, 2008.
    • (2008) SODA , pp. 10-19
    • Li, P.1
  • 22
    • 70349114207 scopus 로고    scopus 로고
    • Compressed counting
    • New York, NY
    • Ping Li. Compressed counting. In SODA, New York, NY, 2009a.
    • (2009) SODA
    • Li, P.1
  • 23
    • 80053143288 scopus 로고    scopus 로고
    • Improving compressed counting
    • Montreal, CA
    • Ping Li. Improving compressed counting. In UAI, Montreal, CA, 2009b.
    • (2009) UAI
    • Li, P.1
  • 25
    • 85067570102 scopus 로고    scopus 로고
    • α (0 < α ≤ 2) using stable random projections
    • Vancouver, BC, Canada
    • α (0 < α ≤ 2) using stable random projections. In NIPS, Vancouver, BC, Canada, 2007.
    • (2007) NIPS
    • Li, P.1    Hastie, T.J.2
  • 26
    • 84858777199 scopus 로고    scopus 로고
    • One sketch for all: Theory and applications of conditional random sampling
    • Vancouver, BC, Canada
    • Ping Li, Kenneth W. Church, and Trevor J. Hastie. One sketch for all: Theory and applications of conditional random sampling. In NIPS (Preliminary results appeared in NIPS 2006), Vancouver, BC, Canada, 2008.
    • (2008) NIPS (Preliminary Results Appeared in NIPS 2006)
    • Li, P.1    Church, K.W.2    Hastie, T.J.3
  • 27
    • 80053168539 scopus 로고    scopus 로고
    • Approximating higher-order distances using random projections
    • Ping Li, Michael Mahoney, and Yiyuan She. Approximating higher-order distances using random projections. In UAI, 2010.
    • (2010) UAI
    • Li, P.1    Mahoney, M.2    She, Y.3
  • 28
    • 42549149790 scopus 로고    scopus 로고
    • Entropy of search logs: How hard is search? With personalization? With backoff?
    • Palo Alto, CA
    • Qiaozhu Mei and Kenneth Church. Entropy of search logs: How hard is search? with personalization? with backoff? In WSDM, pages 45 - 54, Palo Alto, CA, 2008.
    • (2008) WSDM , pp. 45-54
    • Mei, Q.1    Church, K.2
  • 30
    • 0041877169 scopus 로고    scopus 로고
    • Estimation of entropy and mutual information
    • Liam Paninski. Estimation of entropy and mutual information. Neural Comput., 15(6): 1191-1253, 2003.
    • (2003) Neural Comput. , vol.15 , Issue.6 , pp. 1191-1253
    • Paninski, L.1
  • 32
    • 33646516485 scopus 로고
    • Possible generalization of boltzmann-gibbs statistics
    • Constantino Tsallis. Possible generalization of boltzmann-gibbs statistics. Journal of Statistical Physics, 52:479-487, 1988.
    • (1988) Journal of Statistical Physics , vol.52 , pp. 479-487
    • Tsallis, C.1
  • 35
    • 67049103061 scopus 로고    scopus 로고
    • A data streaming algorithm for estimating entropies of od flows
    • San Diego, CA
    • Haiquan Zhao, Ashwin Lall, Mitsunori Ogihara, Oliver Spatscheck, Jia Wang, and Jun Xu. A data streaming algorithm for estimating entropies of od flows. In IMC, San Diego, CA, 2007.
    • (2007) IMC
    • Zhao, H.1    Lall, A.2    Ogihara, M.3    Spatscheck, O.4    Wang, J.5    Xu, J.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.