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» Approximate data mining in very large relational data
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DAWAK
2007
Springer
15 years 10 months ago
OLAP Technology for Business Process Intelligence: Challenges and Solutions
The emerging area of business process intelligence aims at enhancing the analysis power of business process management systems by employing data warehousing and mining technologies...
Svetlana Mansmann, Thomas Neumuth, Marc H. Scholl
152
Voted
ATAL
2010
Springer
15 years 5 months ago
Exploiting scale invariant dynamics for efficient information propagation in large teams
Large heterogeneous teams will often be in situations where sensor data that is uncertain and conflicting is shared across a peer-to-peer network. Not every team member will have ...
Robin Glinton, Paul Scerri, Katia P. Sycara
INCDM
2010
Springer
159views Data Mining» more  INCDM 2010»
15 years 9 months ago
Semi-supervised Learning for False Alarm Reduction
Abstract. Intrusion Detection Systems (IDSs) which have been deployed in computer networks to detect a wide variety of attacks are suffering how to manage of a large number of tri...
Chien-Yi Chiu, Yuh-Jye Lee, Chien-Chung Chang, Wen...
DKE
2002
218views more  DKE 2002»
15 years 4 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...
ICDM
2010
IEEE
158views Data Mining» more  ICDM 2010»
15 years 2 months ago
Patterns on the Connected Components of Terabyte-Scale Graphs
How do connected components evolve? What are the regularities that govern the dynamic growth process and the static snapshot of the connected components? In this work, we study pat...
U. Kang, Mary McGlohon, Leman Akoglu, Christos Fal...