메뉴 건너뛰기




Volumn , Issue , 2010, Pages 324-333

Stratified sampling for data mining on the deep web

Author keywords

[No Author keywords available]

Indexed keywords

ALLOCATION METHODS; ASSOCIATION MINING; DATA DISSEMINATION; DATA MINING PROBLEMS; DATA SETS; DATA SOURCE; DEEP WEB; ESTIMATION ERRORS; MINING TASKS; RULE MINING; SIMPLE RANDOM SAMPLING; STRATIFIED SAMPLING;

EID: 79951735358     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2010.17     Document Type: Conference Paper
Times cited : (10)

References (25)
  • 1
    • 37349017556 scopus 로고    scopus 로고
    • Adaptive-sampling algorithms for answering aggregation queries on Web sites
    • DOI 10.1016/j.datak.2007.09.014, PII S0169023X07001814
    • Foto N. Afrati, Paraskevas V. Lekeas, and Chen Li. Adaptive-sampling algorithms for answering aggregation queries on web sites. Data Knowl. Eng., 64(2):462-490, 2008. (Pubitemid 350297498)
    • (2008) Data and Knowledge Engineering , vol.64 , Issue.2 , pp. 462-490
    • Afrati, F.N.1    Lekeas, P.V.2    Li, C.3
  • 3
    • 74549198813 scopus 로고    scopus 로고
    • Mining search engine query logs via suggestion sampling
    • Ziv Bar-Yossef and Maxim Gurevich. Mining search engine query logs via suggestion sampling. Proc. VLDB Endow., 1(1):54-65, 2008.
    • (2008) Proc. VLDB Endow. , vol.1 , Issue.1 , pp. 54-65
    • Ziv, B.-Y.1    Gurevich, M.2
  • 4
    • 23044527560 scopus 로고    scopus 로고
    • Detecting group differences: Mining contrast sets
    • Stephen D. Bay and Michael J. Pazzani. Detecting group differences: Mining contrast sets. Data Mining and Knowledge Discovery, 5(3):213-246, 2001.
    • (2001) Data Mining and Knowledge Discovery , vol.5 , Issue.3 , pp. 213-246
    • Bay, S.D.1    Pazzani, M.J.2
  • 8
    • 85011514513 scopus 로고    scopus 로고
    • Monte Carlo and quasi-Monte Carlo methods
    • R. E. Caflisch. Monte carlo and quasi-monte carlo methods. Acta Numerica, 7:1-49, 1998.
    • (1998) Acta Numerica , vol.7 , pp. 1-49
    • Caflisch, R.E.1
  • 12
    • 35448942785 scopus 로고    scopus 로고
    • A random walk approach to sampling hidden databases
    • DOI 10.1145/1247480.1247550, SIGMOD 2007: Proceedings of the ACM SIGMOD International Conference on Management of Data
    • Arjun Dasgupta, Gautam Das, and Heikki Mannila. A random walk approach to sampling hidden databases. In SIGMOD '07: Proceedings of the 2007 ACM SIGMOD international conference on Management of data, pages 629-640, New York, NY, USA, 2007. ACM. (Pubitemid 47630840)
    • (2007) Proceedings of the ACM SIGMOD International Conference on Management of Data , pp. 629-640
    • Dasgupta, A.1    Das, G.2    Mannila, H.3
  • 18
    • 52649114729 scopus 로고    scopus 로고
    • Robust stratified sampling plans for low selectivity queries
    • Shantanu Joshi and Christopher M. Jermaine. Robust stratified sampling plans for low selectivity queries. In ICDE, pages 199-208, 2008.
    • (2008) ICDE , pp. 199-208
    • Joshi, S.1    Jermaine, C.M.2
  • 21
    • 0001316388 scopus 로고
    • Recursive stratified sampling for multidimensional Monte Carlo integration
    • William H. Press and Glennys R. Farrar. Recursive stratified sampling for multidimensional monte carlo integration. Comput. Phys., 4(2):190-195, 1990.
    • (1990) Comput. Phys. , vol.4 , Issue.2 , pp. 190-195
    • Press, W.H.1    Farrar, G.R.2
  • 22
    • 0002663971 scopus 로고    scopus 로고
    • Sampling large databases for association rules
    • Morgan Kaufmann
    • Hannu Toivonen. Sampling large databases for association rules. In The VLDB Journal, pages 134-145. Morgan Kaufmann, 1996.
    • (1996) The VLDB Journal , pp. 134-145
    • Toivonen, H.1
  • 24
    • 63449122094 scopus 로고    scopus 로고
    • Guessing the extreme values in a data set: A Bayesian method and its applications
    • Mingxi Wu and Chris Jermaine. Guessing the extreme values in a data set: a bayesian method and its applications. VLDB J., 18(2):571-597, 2009.
    • (2009) VLDB J. , vol.18 , Issue.2 , pp. 571-597
    • Wu, M.1    Jermaine, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.