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Data Mining and Knowledge Discovery （DATAMINE） - January 2014, 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 2014, issue 1
发布时间：
卷期年份： 2014
卷期官网： https://link.springer.com/journal/10618/volumes-and-issues/28-1
本期论文列表
On constrained spectral clustering and its applications

Hierarchical co-clustering: off-line and incremental approaches

The effect of homogeneity on the computational complexity of combinatorial data anonymization

Training and assessing classification rules with imbalanced data

Generalized Dirichlet priors for Naïve Bayesian classifiers with multinomial models in document classification

Anomaly detection in large-scale data stream networks

Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection

A statistical significance testing approach to mining the most informative set of patterns

Classification of time series by shapelet transformation

Semi-supervised projected model-based clustering

Feature selection for k-means clustering stability: theoretical analysis and an algorithm

Mining trajectories of moving dynamic spatio-temporal regions in sensor datasets

Behavior-based clustering and analysis of interestingness measures for association rule mining

Discovering episodes with compact minimal windows

Multiple instance learning via Gaussian processes

Assessing the quality of multilevel graph clustering

Ensemble-based noise detection: noise ranking and visual performance evaluation

Adaptive evolutionary clustering

G-Tries: a data structure for storing and finding subgraphs

Conditional ordinal random fields for structured ordinal-valued label prediction

Repeated labeling using multiple noisy labelers

Affinity-driven blog cascade analysis and prediction

Aggregative quantification for regression

Exploiting domain knowledge to detect outliers

Generating multiple alternative clusterings via globally optimal subspaces

Para Miner: a generic pattern mining algorithm for multi-core architectures

CID: an efficient complexity-invariant distance for time series

GA-TVRC-Het: genetic algorithm enhanced time varying relational classifier for evolving heterogeneous networks

A reference based analysis framework for understanding anomaly detection techniques for symbolic sequences

Subspace clustering of high-dimensional data: a predictive approach

A time-efficient breadth-first level-wise lattice-traversal algorithm to discover rare itemsets

Interesting pattern mining in multi-relational data

Guest editors’ introduction: special issue of the ECML/PKDD 2014 journal track

Learning about meetings

Generalization-based privacy preservation and discrimination prevention in data publishing and mining

Approximating the crowd

Ontology of core data mining entities

Leveraging the power of local spatial autocorrelation in geophysical interpolative clustering

Preserving worker privacy in crowdsourcing

Self-organizing maps by difference of convex functions optimization

Unsupervised interaction-preserving discretization of multivariate data

Uncovering the plot: detecting surprising coalitions of entities in multi-relational schemas

Discovering bands from graphs

Invariant time-series factorization

Detecting localized homogeneous anomalies over spatio-temporal data

A peek into the black box: exploring classifiers by randomization

Confidence bands for time series data

Classy: fast clustering streams of call-graphs

Overlapping community detection in labeled graphs