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CE
2008
160views more  CE 2008»
13 years 5 months ago
Data mining in course management systems: Moodle case study and tutorial
Educational data mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. This work is a ...
Cristóbal Romero, Sebastián Ventura,...
ILP
2007
Springer
13 years 11 months ago
Applying Inductive Logic Programming to Process Mining
The management of business processes has recently received a lot of attention. One of the most interesting problems is the description of a process model in a language that allows ...
Evelina Lamma, Paola Mello, Fabrizio Riguzzi, Serg...
KDD
1999
ACM
147views Data Mining» more  KDD 1999»
13 years 10 months ago
Text Mining: Finding Nuggets in Mountains of Textual Data
Text mining appliesthe sameanalytical functions of datamining to the domainof textual information, relying on sophisticatedtext analysis techniques that distill information from f...
Jochen Dörre, Peter Gerstl, Roland Seiffert
PPOPP
2005
ACM
13 years 11 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...
ICISC
2004
169views Cryptology» more  ICISC 2004»
13 years 7 months ago
ADWICE - Anomaly Detection with Real-Time Incremental Clustering
Abstract. Anomaly detection, detection of deviations from what is considered normal, is an important complement to misuse detection based on attack signatures. Anomaly detection in...
Kalle Burbeck, Simin Nadjm-Tehrani