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» Online Data Mining for Co-Evolving Time Sequences
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ADMA
2008
Springer
123views Data Mining» more  ADMA 2008»
14 years 1 months ago
Supporting Customer Retention through Real-Time Monitoring of Individual Web Usage
Customer retention is crucial for any company relying on a regular client base. One way to approach this problem is to analyse actual user behaviour and take proper actions based o...
Peter Hofgesang, Jan Peter Patist
KDD
2006
ACM
198views Data Mining» more  KDD 2006»
14 years 7 months ago
CFI-Stream: mining closed frequent itemsets in data streams
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
Nan Jiang, Le Gruenwald
CCGRID
2009
IEEE
14 years 2 months ago
Multi-scale Real-Time Grid Monitoring with Job Stream Mining
—The ever increasing scale and complexity of large computational systems ask for sophisticated management tools, paving the way toward Autonomic Computing. A first step toward A...
Xiangliang Zhang, Michèle Sebag, Céc...
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
14 years 7 months ago
Aggregating time partitions
Partitions of sequential data exist either per se or as a result of sequence segmentation algorithms. It is often the case that the same timeline is partitioned in many different ...
Evimaria Terzi, Panayiotis Tsaparas, Taneli Mielik...
ICDM
2008
IEEE
113views Data Mining» more  ICDM 2008»
14 years 1 months ago
Online Reliability Estimates for Individual Predictions in Data Streams
Several predictive systems are nowadays vital for operations and decision support. The quality of these systems is most of the time defined by their average accuracy which has lo...
Pedro Pereira Rodrigues, João Gama, Zoran B...