Yun et al., 2002 - Google Patents
Using category-based adherence to cluster market-basket dataYun et al., 2002
View PDF- Document ID
- 12826936730310438468
- Author
- Yun C
- Chuang K
- Chen M
- Publication year
- Publication venue
- 2002 IEEE International Conference on Data Mining, 2002. Proceedings.
External Links
Snippet
We devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to be of high dimensionality, sparsity, and with massive outliers. Without explicitly considering the presence of the …
- 238000005259 measurement 0 abstract description 19
Classifications
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- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30533—Other types of queries
- G06F17/30539—Query processing support for facilitating data mining operations in structured databases
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- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
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- G06Q30/00—Commerce, e.g. shopping or e-commerce
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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