Data Mining and Knowledge Discovery

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Data Mining and Knowledge Discovery

E-ISSN: 1384-5810
Print ISSN: 1573-756X
Website: http://link.springer.com/journal/10618
Publisher: Springer-Verlag

5/12
2018

An adaptive algorithm for anomaly and novelty detection in evolving data streams

5/12
2018

Exploring variable-length time series motifs in one hundred million length scale

5/12
2018

Editor's Note: Special Section on Data Mining for Smart Cities

5/12
2018

Scalable and exact sampling method for probabilistic generative graph models

4/18
2018

Robust finite mixture regression for heterogeneous targets

4/18
2018

Anytime parallel density-based clustering

4/18
2018

Optimizing dynamic time warping’s window width for time series data mining applications

4/6
2018

Anomaly detection in spatiotemporal data via regularized non-negative tensor analysis

3/25
2018

Cluster-based trajectory segmentation with local noise

3/20
2018

Analyzing concept drift and shift from sample data

3/20
2018

Speeding up similarity search under dynamic time warping by pruning unpromising alignments

3/11
2018

SICA: subjectively interesting component analysis

3/11
2018

Graph sampling with applications to estimating the number of pattern embeddings and the parameters of a statistical relational model

3/11
2018

Labeled Phrase Latent Dirichlet Allocation and its online learning algorithm

3/11
2018

Kernel mixture model for probability density estimation in Bayesian classifiers

3/11
2018

An optimization model for collaborative recommendation using a covariance-based regularizer

3/11
2018

Structural robustness and service reachability in urban settings

12/31
2017

Data-driven generation of spatio-temporal routines in human mobility

12/14
2017

Anytime discovery of a diverse set of patterns with Monte Carlo tree search

12/5
2017

Online estimation of discrete, continuous, and conditional joint densities using classifier chains

11/21
2017

Efficient geometric-based computation of the string subsequence kernel

11/21
2017

Fast analytical methods for finding significant labeled graph motifs

10/28
2017

Robust graph regularized nonnegative matrix factorization for clustering

9/23
2017

An improvement of the parameterized frequent directions algorithm

9/13
2017

Bounding the difference between RankRC and RankSVM and application to multi-level rare class kernel ranking