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» Towards Object-Relational Data Mining
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SEMWEB
2010
Springer
14 years 9 months ago
Auto-experimentation of KDD Workflows Based on Ontological Planning
One of the problems of Knowledge Discovery in Databases (KDD) is the lack of user support for solving KDD problems. Current Data Mining (DM) systems enable the user to manually des...
Floarea Serban
89
Voted
KDD
2002
ACM
104views Data Mining» more  KDD 2002»
16 years 2 days ago
Generalization Methods in Bioinformatics
Protein secondary structure prediction and high-throughput drug screen data mining are two important applications in bioinformatics. The data is represented in sparse feature spac...
Steven Eschrich, Nitesh V. Chawla, Lawrence O. Hal...
103
Voted
ICDM
2009
IEEE
145views Data Mining» more  ICDM 2009»
14 years 9 months ago
Significance of Episodes Based on Minimal Windows
Discovering episodes, frequent sets of events from a sequence has been an active field in pattern mining. Traditionally, a level-wise approach is used to discover all frequent epis...
Nikolaj Tatti
KDD
2008
ACM
153views Data Mining» more  KDD 2008»
16 years 2 days ago
Text classification, business intelligence, and interactivity: automating C-Sat analysis for services industry
Text classification has matured as a research discipline over the last decade. Independently, business intelligence over structured databases has long been a source of insights fo...
Shantanu Godbole, Shourya Roy
USENIX
2008
15 years 2 months ago
Context-Aware Prefetching at the Storage Server
In many of today's applications, access to storage constitutes the major cost of processing a user request. Data prefetching has been used to alleviate the storage access lat...
Gokul Soundararajan, Madalin Mihailescu, Cristiana...