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» Using Web Data Provenance for Quality Assessment
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Publication
270views
13 years 9 months ago
A Data Hiding Scheme Based on LBPROT Pattern
Texture classification is mainly used for segmentation of texture regions and content-based access to image databases. Lately these texture classification patterns have been appl...
E. E. Varsaki, V. Fotopoulos, A. N. Skodras
ICDM
2002
IEEE
122views Data Mining» more  ICDM 2002»
15 years 4 months ago
Using Category-Based Adherence to Cluster Market-Basket Data
In this paper, 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 b...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
IJCNLP
2005
Springer
15 years 4 months ago
Aligning Needles in a Haystack: Paraphrase Acquisition Across the Web
This paper presents a lightweight method for unsupervised extraction of paraphrases from arbitrary textual Web documents. The method differs from previous approaches to paraphrase...
Marius Pasca, Péter Dienes
DATAMINE
2010
133views more  DATAMINE 2010»
14 years 11 months ago
Using background knowledge to rank itemsets
Assessing the quality of discovered results is an important open problem in data mining. Such assessment is particularly vital when mining itemsets, since commonly many of the disc...
Nikolaj Tatti, Michael Mampaey
SAC
2008
ACM
14 years 10 months ago
Efficient concept clustering for ontology learning using an event life cycle on the web
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
Sangsoo Sung, Seokkyung Chung, Dennis McLeod