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ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
13 years 4 months ago
Anomaly Detection Using an Ensemble of Feature Models
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Keith Noto, Carla E. Brodley, Donna K. Slonim
MCS
2010
Springer
13 years 4 months ago
Improving Multilabel Classification Performance by Using Ensemble of Multi-label Classifiers
Multilabel classification is a challenging research problem in which each instance is assigned to a subset of labels. Recently, a considerable amount of research has been concerned...
Muhammad Atif Tahir, Josef Kittler, Krystian Mikol...
SIGIR
2009
ACM
14 years 19 days ago
Learning to recommend with social trust ensemble
As an indispensable technique in the field of Information Filtering, Recommender System has been well studied and developed both in academia and in industry recently. However, mo...
Hao Ma, Irwin King, Michael R. Lyu
BMCBI
2010
224views more  BMCBI 2010»
13 years 6 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
CIS
2004
Springer
13 years 11 months ago
Knowledge Maintenance on Data Streams with Concept Drifting
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
Juggapong Natwichai, Xue Li