当前位置:文档之家› 数据挖掘取样方法研究.

数据挖掘取样方法研究.

P
J.A dip
in the reservoir
maintaining sample synopses of
evolving
datasets[c]/Proe
of the 32nd Int
Conf
on
VI,DB.Trondhei耐,Norway:VI.DB
Endowment。2006:595-606
Hu
o
M
够鲫
m
=嘶~㈣



叫呱.1一嘶耋_~a
.
S
S
.
¨
限‰
垂|叭妇
9
洼O
e
.
H№
一二詈

Ⅲ氓胁h叽m叫
晒乙幢
,.¨Ⅵ‰
圳池撇耐.叩一一一咖一.一啪乩
㈨№
|童扭
万方数据
数据挖掘取样方法研究作者:作者单位:胡文瑜,孙志挥,吴英杰,Hu Wenyu,Sun Zhihui,Wu Yingjie胡文瑜,Hu Wenyu(东南大学计算机科学与工程学院,南京,210096;福建工程学院计算机与信息科学系,福州,350108,孙志挥,Sun Zhihui(东南大学计算机科学与工程学院,南京,210096,吴英杰,Wu Yingjie(东南大学计算机科学与工程学院,南京,210096;福州大学数学与计算机科学学院,福州,350108计算机研究与发展JOURNAL OF COMPUTER RESEARCH AND DEVELOPMENT 2011,48(1刊名:英文刊名:年,卷(期:参考文献(58条1.Olken F;Rotem D Sampling from spatial databases 1995(01 2.Gibbons P B;Matias Y New sampling-based summary statistics for improving approximate query answers 1998 3.Acharya S;Gibbons P B;Poosala V Congressional samples for approximate answering of group-by queries 2000 4.Chaudhuri S;Das G;Datar M Overcoming limitations of sampling tot aggregation queries 2001 5.Chakrabarti A;Do Ba K;Muthukrishnan S Estimating entropy and entropy norln on data streams 2006(01 6.Chakrabarti A;Cormode G;McGregor A A near-optimal algorithm for computing the entropy of a stream 2007 7.Chuang Kun-T;Chen Hung-L;Chen Ming-S Featurepreserved sampling over streaming data 2009(04 8.贾彩燕;陆汝钤关联规则挖掘的取样误差量化模型和快速估计算法[期刊论文]-计算机学报2006(04 9.Braverman V;Ostrovsky R;Zaniolo C Optimal sampling from sliding windows 2009 10.Gemulla R;Lehner W;tlaas P J A dip in the reservoir maintaining sample synopses of evolving datasets 2006 11.Olken F;Rotem D Random sampling from B+trees 1989 12.Lohr S L Sampling:Design and Analysis 1999 13.Buriol L S;FraMing G;Leonardi S Counting triangles in data streams 2006 14.Dash M;Singhania A Mining in large noisy domains 2009(02 15.Jermaine C;Pol A;Arumugam S Online maintenance of very large random samples 2004 16.杨雪梅;董逸生高维数据流的在线相关性分析[期刊论文]-计算机研究与发展2006(10 17.Aggarwal C C On biased reservoir sampling in the presence of stream evolution 2006 18.Demaine E D;Lopez-Ortiz A;Munro J I Frequency estimation of internet packet streams with limited space 2002 19.Manku G S;Rajagopalan S;Lindsay B G Approximate medians and other quantiles in one pass and with limited memory 1998 20.Gaber M M;Zaslavsky A;Krishnaswamy S Mining data streams:A review 2005(02 21.Babcock B;Bebu S;Datar M Models and issues in data stream systems 2002 22.Hwang W;Kim D Improved association rule mining by modified trimming 2006 23.Bronnimann H;Chert B;Dash M Efficient data reduction with EASE 2003
24.Bronnimann H;Chen B;Dash M Efficient data reduction methods for on-line association rule discovery 2002 25.Chen B;Haas P;Seheuermann P A new two-phase sampling based algorithm for discovering association rules 2002 26.Choi B Y;Park J;Zhang Z L Adaptive packet sampling for flow volume measurement,TR一02-040 2002 27.Chaudhuri S;Das G;Narasayy A V Optimized stratified sampling for approximate query processing 2007(02 w Y W;Chatterjea S;Jin J Energy-efficient data acquisition by adaptive sampling for wireless sensor networks 2009 29.FraMing G;Indyk P;Sohler C Sampling in dynamic data streams and applications 2005 30.Choi B Y;Park J;Zhang Z L Adaptive random sampling for load change detection 2002 31.Domingo C;Gavalda R;Watanabe O Adaptive sampling methods for Scaling up knowledge discovery algorithms 1999 32.Lynch J F Analysis and application of adaptive sampling 2000 33.Bezdek J C;Hathaway R J Progressive sampling schemes for approximate clustering in very large data sets 2004 34.Chuang K T;Chen M S;Yang W C Progressive sampling for association rules based on sampling error estimation 2005 35.Parthasarathy S Efficient progressive sampling for association rules 2002 36.Li W;Gao X;Zhu Y On the small sample performance of boosted classifiers 2005 37.Toivonen H Sampling large databases for assoeiation rules 1996 38.周水庚;周傲英一种基于密度的快速聚类算法[期刊论文]-计算机研究与发展2000(11 39.Cormode G;Muthukrishnan S Summarizing and mining skewed data streams 2005 40.Kollios G;Gunopoulos D;Koudas N Effieient biased sampling for approximate clustering and outlier detection in large data sets[外文期刊] 2003(05 41.Palmer C;Faloutsos C Density biased sampling:An improved method for data mining and clustering 2000 42.Olken F Random sampling from database 2005 43.Thompson Steven K;Seber George A F Adaptive Sampling 1996 44.Chaudhuri S;Das G;Narasayya V Optimizationbased approach for approximate answering of aggregate queries 2001 45.Brown P G;Haas P J Techniques for warehousing of sample data 2006 46.Levy P S;Lemeshow S Sampling of Populations:Methods and Applications 1991 47.Cochran W G Sampling Techniques 1977 48.Vitter J S Random sampling with a reservoir 1985(01 49.Babcock B;Chaudhuri S;Das G Dynamic dample delection for spproximate wuery processing 2003 st M Improving data mining utility with projective sampling 2009 51.Haas P J;Swami A N Sequential sampling procedures for query size estimation 1992
相关主题