A weighted voting framework for classifiers ensembles
Exploiting rich user information for one-class collaborative filtering
Models of distributed data clustering in peer-to-peer environments
Clustering semantically heterogeneous distributed aggregate databases
Exploiting semantic annotations for open information extraction: an experience in the biomedical domain
On the adaptability of G3PARM to the extraction of rare association rules
Estimating feature ratings through an effective review selection approach
Composition pattern oriented tag extraction from short documents using a structural learning method
Expansion and decentralized search in complex networks
Securing SIP-based VoIP infrastructure against flooding attacks and Spam Over IP Telephony
Challenges for adaptation in agent societies
Efficiently spotting the starting points of an epidemic in a large graph
A general framework for scalable transductive transfer learning
An efficient projection-based indexing approach for mining high utility itemsets
Context-based information analysis for the Web environment
A flexible coupling approach to multi-agent planning under incomplete information
Analyzing the presence of noise in multi-class problems: alleviating its influence with the One-vs-One decomposition
Clustering Web services to facilitate service discovery
Multi-view constrained clustering with an incomplete mapping between views
GUISE: a uniform sampler for constructing frequency histogram of graphlets
Outcome aware ranking in value creation networks
Transfer dimensionality reduction by Gaussian process in parallel
Scalable sequential alternating proximal methods for sparse structural SVMs and CRFs
DFSP: a Depth-First SPelling algorithm for sequential pattern mining of biological sequences
A multi-phase correlation search framework for mining non-taxonomic relations from unstructured text
An effective neural network and fuzzy time series-based hybridized model to handle forecasting problems of two factors
Comparative news summarization using concept-based optimization
Maritime abnormality detection using Gaussian processes
An effective dissimilarity measure for clustering of high-dimensional categorical data
