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Data Mining and Knowledge Discovery （DATAMINE） - January 2015, issue 1 论文列表

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卷期号： January 2015, issue 1
发布时间：
卷期年份： 2015
卷期官网： https://link.springer.com/journal/10618/volumes-and-issues/29-1
本期论文列表
Editorial

Clustering categorical data in projected spaces

Ensemble anomaly detection from multi-resolution trajectory features

Summarizing numeric spatial data streams by trend cluster discovery

Sequential network change detection with its applications to ad impact relation analysis

Very fast decision rules for classification in data streams

Link prediction in heterogeneous data via generalized coupled tensor factorization

To tune or not to tune: rule evaluation for metaheuristic-based sequential covering algorithms

Visualizing multi-dimensional decision boundaries in 2D

Erratum to: Unsupervised interaction-preserving discretization of multivariate data

Guest editorial: Special issue on data mining for medicine and healthcare

Classification-driven temporal discretization of multivariate time series

On mining latent treatment patterns from electronic medical records

Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality

Mining strong relevance between heterogeneous entities from unstructured biomedical data

Generative modeling of repositories of health records for predictive tasks

Data mining for censored time-to-event data: a Bayesian network model for predicting cardiovascular risk from electronic health record data

A relative similarity based method for interactive patient risk prediction

Constrained elastic net based knowledge transfer for healthcare information exchange

Addressing the cold-start problem in location recommendation using geo-social correlations

Exemplar-based low-rank matrix decomposition for data clustering

Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series

Learning a symbolic representation for multivariate time series classification

Inhibiting diffusion of complex contagions in social networks: theoretical and experimental results

A framework for dissimilarity-based partitioning clustering of categorical time series

Labeled directed acyclic graphs: a generalization of context-specific independence in directed graphical models

Survey on distance metric learning and dimensionality reduction in data mining

Time series classification with ensembles of elastic distance measures

CenKNN: a scalable and effective text classifier

Graph based anomaly detection and description: a survey

Detecting anomaly collections using extreme feature ranks

On measuring similarity for sequences of itemsets

Evolutionary soft co-clustering: formulations, algorithms, and applications

Multi-period classification: learning sequent classes from temporal domains

Evaluation measures for hierarchical classification: a unified view and novel approaches

The BOSS is concerned with time series classification in the presence of noise

Ensemble methods for uplift modeling

Cluster validity functions for categorical data: a solution-space perspective

Weakly supervised nonnegative matrix factorization for user-driven clustering

A general framework for never-ending learning from time series streams

Quadratic regularization projected Barzilai–Borwein method for nonnegative matrix factorization

Learning sequential classifiers from long and noisy discrete-event sequences efficiently

A general framework for predictive tensor modeling with domain knowledge

Discrimination- and privacy-aware patterns

Multi-relational pattern mining over data streams

Properties of the sample estimators used for statistical normalization of feature vectors

Size matters: choosing the most informative set of window lengths for mining patterns in event sequences

Guest editors introduction: special issue of the ECMLPKDD 2015 journal track

Mining outlying aspects on numeric data

Dynamic inference of social roles in information cascades

Finding the longest common sub-pattern in sequences of temporal intervals

MassExodus: modeling evolving networks in harsh environments

Beyond rankings: comparing directed acyclic graphs

Tractome: a visual data mining tool for brain connectivity analysis

DRESS: dimensionality reduction for efficient sequence search

Ranking episodes using a partition model

Clustering Boolean tensors

Multiscale event detection in social media

Efficient and effective community search

Assessing the impact of a health intervention via user-generated Internet content

Generalization of clustering agreements and distances for overlapping clusters and network communities

Knowledge base completion by learning pairwise-interaction differentiated embeddings