Knowledge And Information Systems（KAIS ）的APRIL 2016, ISSUE 1论文列表

卷期号： April 2016, issue 1

发布时间：

卷期年份： 2016

卷期官网： https://link.springer.com/journal/10115/volumes-and-issues/47-1

Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm

Cross-lingual sentiment classification with stacked autoencoders

A new boosting algorithm for provably accurate unsupervised domain adaptation

Soft-constrained Laplacian score for semi-supervised multi-label feature selection

Efficient discovery of contrast subspaces for object explanation and characterization

Speeding up ALS learning via approximate methods for context-aware recommendations

Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach

A framework for anomaly detection in maritime trajectory behavior

PISAGOR: a proactive software agent for monitoring interactions

Constrained pattern mining in the new era

Tracking the evolution of social emotions with topic models

Co-clustering of multi-view datasets

Mining exceptional relationships with grammar-guided genetic programming

Splitting anonymization: a novel privacy-preserving approach of social network

A transversal hypergraph approach for the frequent itemset hiding problem

A differentially private algorithm for location data release

AMORE: design and implementation of a commercial-strength parallel hybrid movie recommendation engine

Partial materialization for online analytical processing over multi-tagged document collections

Context-aware location recommendation by using a random walk-based approach

Locality-sensitive and Re-use Promoting Personalized PageRank computations

TKAP: Efficiently processing top-k query on massive data by adaptive pruning

On strategies for building effective ensembles of relative clustering validity criteria

Enhancing web search by using query-based clusters and multi-document summaries

Mining and clustering mobility evolution patterns from social media for urban informatics

Discovering compressing serial episodes from event sequences

Leveraging path information to generate predictions for parallel business processes

Data clustering using side information dependent Chinese restaurant processes