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Data Mining and Knowledge Discovery （DATAMINE） - January 2018, issue 1 论文列表

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卷期号： January 2018, issue 1
发布时间：
卷期年份： 2018
卷期官网： https://link.springer.com/journal/10618/volumes-and-issues/32-1
本期论文列表
Noise-tolerance matrix completion for location recommendation

Imbalanced classification in sparse and large behaviour datasets

Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile

BSig: evaluating the statistical significance of biclustering solutions

Fast and accurate mining of correlated heavy hitters

Selective harvesting over networks

The inner and outer approaches to the design of recursive neural architectures

Toward online node classification on streaming networks

Model-based and actual independence for fairness-aware classification

Interpretation of text patterns

Labeled Phrase Latent Dirichlet Allocation and its online learning algorithm

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

SICA: subjectively interesting component analysis

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

Cluster-based trajectory segmentation with local noise

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

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

Anytime parallel density-based clustering

Do your friends make you buy this brand?

Exploiting the roles of aspects in personalized POI recommender systems

Self-monitoring for maintenance of vehicle fleets

Infinite ensemble clustering

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

An improvement of the parameterized frequent directions algorithm

Robust graph regularized nonnegative matrix factorization for clustering

Fast analytical methods for finding significant labeled graph motifs

Efficient geometric-based computation of the string subsequence kernel

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

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

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

Kernel mixture model for probability density estimation in Bayesian classifiers

Provenance Network Analytics

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

Targeted interest-driven advertising in cities using Twitter

Mining urban events from the tweet stream through a probabilistic mixture model

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

Structural robustness and service reachability in urban settings

Robust finite mixture regression for heterogeneous targets

Scalable and exact sampling method for probabilistic generative graph models

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

A probabilistic stop and move classifier for noisy GPS trajectories

Constrained distance based clustering for time-series: a comparative and experimental study

A kernel-based trend pattern tracking system for portfolio optimization

Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks

Extreme-value-theoretic estimation of local intrinsic dimensionality

Exact variable-length anomaly detection algorithm for univariate and multivariate time series

Introduction to the special issue for the ECML PKDD 2018 journal track

Analyzing concept drift and shift from sample data

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

Fast schemes for online record linkage

Efficiently summarizing attributed diffusion networks

Linear regression for uplift modeling

Temporal stability in predictive process monitoring

ColdRoute: effective routing of cold questions in stack exchange sites

Using core-periphery structure to predict high centrality nodes in time-varying networks

Dynamic graph summarization: a tensor decomposition approach

Social centrality using network hierarchy and community structure

Explaining anomalies in groups with characterizing subspace rules

ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows