SCOPUS 정보 검색 플랫폼

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2003, Pages 511-516

Applications of sampling and fractional factorial designs to model-free data squashing

(2) Dumouchel, William a Agarwal, Deepak K a

a AT AND T LABS RESEARCH (United States)

Author keywords

Data squashing; Fractional factorial design; Stratified sampling; Summary of massive datasets

Indexed keywords

CHI-SQUARED; COMPUTING TIME; CONTINUOUS VARIABLES; CURSE OF DIMENSIONALITY; DATA SETS; DISCRETE DENSITIES; FRACTIONAL FACTORIAL DESIGNS; MASSIVE DATA; MASSIVE DATA SETS; MODEL FREE; MODELING RESULTS; PRINCIPAL COMPONENTS; PRINCIPAL COMPONENTS TRANSFORMATIONS; RANDOM SAMPLE; STATISTICAL MODELING; STATISTICAL MODELS; STATISTICAL RELATIONSHIP; STRATIFIED SAMPLING; WEIGHTING SCHEME;

DATA MINING; LINEAR TRANSFORMATIONS; SPECIFICATIONS;

DESIGN;

EID: 61849106629 PISSN: None EISSN: None Source Type: Conference Proceeding
DOI: 10.1145/956750.956811 Document Type: Conference Paper

Times cited : (3)

References (8)

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2
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- Clarkson K. Msb: Nearest neighbor search in metric spaces. http://cm.belllabs.com/who/clarkson/Msb/readme.html
- Msb: Nearest neighbor search in metric spaces
- Clarkson, K.¹

3
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- Data Squashing: Constructing summary data sets
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- DuMouchel W (2001) Data Squashing: Constructing summary data sets In Handbook of Massive Data Sets, ed. by James Abello, Kluwer Academic Publishers
- (2001) Handbook of Massive Data Sets
- DuMouchel, W.¹

4
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- Squashing flat files flatter
- DuMouchel W, Volinsky C, Johnson T, Cortes C, Pregibon D (1999) Squashing flat files flatter. In Proc. Fifth ACM Conf. on Knowledge Discovery and Data Mining, 6-15.
- (1999) Proc. Fifth ACM Conf. on Knowledge Discovery and Data Mining , pp. 6-15
- DuMouchel, W.¹ Volinsky, C.² Johnson, T.³ Cortes, C.⁴ Pregibon, D.⁵

5
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- Likelihood based data squashing: A modeling approach to instance construction
- Madigan D, Raghavan N, DuMouchel W, Nason M, Posse C, Ridgeway G (2000) Likelihood based data squashing: a modeling approach to instance construction. J Data Mining & Knowledge Disc [http://citeseer.nj.nec.com/469828.html.]
- (2000) J. Data Mining & Knowledge Disc
- Madigan, D.¹ Raghavan, N.² DuMouchel, W.³ Nason, M.⁴ Posse, C.⁵ Ridgeway, G.⁶

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- Empirical likelihood ratio confidence regions
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8
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- Owen, A (2000) Data squashing by empirical likelihood. www-stat.stanford.edu/~owen/reports/squash.ps
- (2000) Data Squashing by Empirical Likelihood
- Owen, A.¹

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.