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» Data Mining and Database Systems: Where is the Intersection
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SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
16 years 6 months ago
Identifying Similarities, Periodicities and Bursts for Online Search Queries
We present several methods for mining knowledge from the query logs of the MSN search engine. Using the query logs, we build a time series for each query word or phrase (e.g., `Th...
Michail Vlachos, Christopher Meek, Zografoula Vage...
DKE
2002
218views more  DKE 2002»
15 years 6 months ago
Computing iceberg concept lattices with T
We introduce the notion of iceberg concept lattices and show their use in knowledge discovery in databases. Iceberg lattices are a conceptual clustering method, which is well suit...
Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas P...
WWW
2011
ACM
15 years 1 months ago
Trust analysis with clustering
Web provides rich information about a variety of objects. Trustability is a major concern on the web. Truth establishment is an important task so as to provide the right informati...
Manish Gupta, Yizhou Sun, Jiawei Han
ICDE
2011
IEEE
235views Database» more  ICDE 2011»
14 years 10 months ago
Dealing proactively with data corruption: Challenges and opportunities
—The danger of production or backup data becoming corrupted is a problem that database administrators dread. This position paper aims to bring this problem to the attention of th...
Nedyalko Borisov, Shivnath Babu, NagaPramod Mandag...
EDM
2010
163views Data Mining» more  EDM 2010»
15 years 7 months ago
Can Order of Access to Learning Resources Predict Success?
Learning management systems capture student's interactions with the course contents in the form of event logs, including the order in which resources are accessed. We build on...
Hema Soundranayagam, Kalina Yacef