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» Association Rule Mining from XML Data
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CORR
2010
Springer
279views Education» more  CORR 2010»
14 years 10 months ago
Mining Frequent Itemsets Using Genetic Algorithm
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
Soumadip Ghosh, Sushanta Biswas, Debasree Sarkar, ...
EDBT
2009
ACM
85views Database» more  EDBT 2009»
15 years 2 months ago
Expressive, yet tractable XML keys
Constraints are important for a variety of XML recommendations and applications. Consequently, there are numerous opportunities for advancing the treatment of XML semantics. In pa...
Sven Hartmann, Sebastian Link
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
15 years 10 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
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ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
15 years 3 months ago
Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation
In order to generate synthetic basket data sets for better benchmark testing, it is important to integrate characteristics from real-life databases into the synthetic basket data ...
Yongge Wang, Xintao Wu
BNCOD
2007
104views Database» more  BNCOD 2007»
14 years 11 months ago
Integrity Checking and Maintenance with Active Rules in XML Databases
While specification languages for integrity constraints for XML data have been considered in the literature, actual technologies and methodologies for checking and maintaining in...
Henning Christiansen, Maria Rekouts