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» Mining interesting sets and rules in relational databases
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RULEML
2004
Springer
15 years 3 months ago
Rule Learning for Feature Values Extraction from HTML Product Information Sheets
The Web is now a huge information repository with a rich semantic structure that, however, is primarily addressed to human understanding rather than automated processing by a compu...
Costin Badica, Amelia Badica
CSMR
2010
IEEE
14 years 4 months ago
Does the Past Say It All? Using History to Predict Change Sets in a CMDB
To avoid unnecessary maintenance costs in large IT systems resulting from poorly planned changes, it is essential to manage and control changes to the system and to verify that all...
Sarah Nadi, Richard C. Holt, Serge Mankovski
ICDM
2002
IEEE
148views Data Mining» more  ICDM 2002»
15 years 2 months ago
SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint
Over the years, a variety of algorithms for finding frequent sequential patterns in very large sequential databases have been developed. The key feature in most of these algorith...
Masakazu Seno, George Karypis
ER
2001
Springer
130views Database» more  ER 2001»
15 years 2 months ago
NF-SS: A Normal Form for Semistructured Schema
Semistructured data is becoming increasingly important for web applications with the development of XML and related technologies. Designing a “good” semistructured database is ...
Xiaoying Wu, Tok Wang Ling, Sin Yeung Lee, Mong-Li...
ICDM
2002
IEEE
128views Data Mining» more  ICDM 2002»
15 years 2 months ago
Mining Online Users? Access Records for Web Business Intelligence
This paper discusses about how business intelligence on a website could be obtained from users’ access records instead of web logs of “hits”. Users’ access records are cap...
Simon Fong, Serena Chan