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Data Mining and Knowledge Discovery （DATAMINE） - January 2016, issue 1 论文列表

点击这里查看 Data Mining and Knowledge Discovery 的JCR分区、影响因子等信息
卷期号： January 2016, issue 1
发布时间：
卷期年份： 2016
卷期官网： https://link.springer.com/journal/10618/volumes-and-issues/30-1
本期论文列表
Decomposition-by-normalization (DBN): leveraging approximate functional dependencies for efficient CP and tucker decompositions

Exceptional Model Mining

On detecting maximal quasi antagonistic communities in signed graphs

Link prediction using time series of neighborhood-based node similarity scores

Sampling frequent and minimal boolean patterns: theory and application in classification

A computational approach inspired by simulated annealing to study the stability of protein interaction networks in cancer and neurological disorders

Accelerating the discovery of unsupervised-shapelets

Evaluating discrete choice prediction models when the evaluation data is corrupted: analytic results and bias corrections for the area under the ROC

Identifying correlated heavy-hitters in a two-dimensional data stream

SONIC: streaming overlapping community detection

Binarised regression tasks: methods and evaluation metrics

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study

Mining significant association rules from uncertain data

Characterizing concept drift

Using dynamic time warping distances as features for improved time series classification

Instance-level accuracy versus bag-level accuracy in multi-instance learning

General factorization framework for context-aware recommendations

Efficient temporal mining of micro-blog texts and its application to event discovery

Classification of streaming time series under more realistic assumptions

Fast approximation of betweenness centrality through sampling

Time series representation and similarity based on local autopatterns

Active exploration for large graphs

Exploiting link structure for web page genre identification

Parameter learning in hybrid Bayesian networks using prior knowledge

Enhancing aggregation phase of microaggregation methods for interval disclosure risk minimization

MINAS: multiclass learning algorithm for novelty detection in data streams

Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models

Fast exhaustive subgroup discovery with numerical target concepts

Exemplar learning for extremely efficient anomaly detection in real-valued time series

Generalized Gini Correlation and its Application in Data-Mining

Online route prediction based on clustering of meaningful velocity-change areas

Discovering outlying aspects in large datasets

Guest editors’ introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning

Irrevocable-choice algorithms for sampling from a stream

A distributed approach for graph mining in massive networks

Generalized random shapelet forests

Skopus: Mining top-k sequential patterns under leverage

Using regression makes extraction of shared variation in multiple datasets easy

Top-k overlapping densest subgraphs

Bayesian Wishart matrix factorization

Ensembles of label noise filters: a ranking approach

Locating the contagion source in networks with partial timestamps

Mining rooted ordered trees under subtree homeomorphism

Scalable time series classification

C-BiLDA extracting cross-lingual topics from non-parallel texts by distinguishing shared from unshared content

ClusPath: a temporal-driven clustering to infer typical evolution paths

An efficient exact algorithm for triangle listing in large graphs

Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models

Optimizing network robustness by edge rewiring: a general framework