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Data Mining and Knowledge Discovery （DATAMINE） - January 2019, 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 2019, issue 1
发布时间：
卷期年份： 2019
卷期官网： https://link.springer.com/journal/10618/volumes-and-issues/33-1
本期论文列表
Estimating sequence similarity from read sets for clustering next-generation sequencing data

Sampling online social networks by random walk with indirect jumps

Modeling location-based social network data with area attraction and neighborhood competition

Domain agnostic online semantic segmentation for multi-dimensional time series

Ranking evolution maps for Satellite Image Time Series exploration: application to crustal deformation and environmental monitoring

Learning edge weights in file co-occurrence graphs for malware detection

Group recommender system for store product placement

Robust classification of graph-based data

Exact mean computation in dynamic time warping spaces

Setting decision thresholds when operating conditions are uncertain

Automatic discovery of adverse reactions through Chinese social media

Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data

Deep learning for time series classification: a review

Algorithmic cache of sorted tables for feature selection

A new class of metrics for learning on real-valued and structured data

The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models

Clustering for heterogeneous information networks with extended star-structure

Subjectively interesting connecting trees and forests

Efficiently mining cohesion-based patterns and rules in event sequences

Interpretable time series classification using linear models and multi-resolution multi-domain symbolic representations

Multi-target prediction: a unifying view on problems and methods

A tutorial on statistically sound pattern discovery

A review on distance based time series classification

Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting

Noise-free latent block model for high dimensional data

DeepRank: improving unsupervised node ranking via link discovery

Model-free inference of diffusion networks using RKHS embeddings

Algorithms for approximate subtropical matrix factorization

An effective and versatile distance measure for spatiotemporal trajectories

Proximity Forest: an effective and scalable distance-based classifier for time series

Modeling and elucidation of housing price

EACD: evolutionary adaptation to concept drifts in data streams

Guest Editorial

Editor’s Note

Spatial autocorrelation and entropy for renewable energy forecasting

The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers

Dynamic detection of anomalous regions within distributed acoustic sensing data streams using locally stationary wavelet time series

Concept drift over geological times: predictive modeling baselines for analyzing the mammalian fossil record

A unifying view of explicit and implicit feature maps of graph kernels

HHMF: hidden hierarchical matrix factorization for recommender systems

Efficient mixture model for clustering of sparse high dimensional binary data

More for less: adaptive labeling payments in online labor markets

A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates

Dynamics reconstruction and classification via Koopman features

Extending inverse frequent itemsets mining to generate realistic datasets: complexity, accuracy and emerging applications

SAZED: parameter-free domain-agnostic season length estimation in time series data

Wrangling messy CSV files by detecting row and type patterns

catch22: CAnonical Time-series CHaracteristics

Contextual bandits with hidden contexts: a focused data capture from social media streams

A unified view of density-based methods for semi-supervised clustering and classification

Attributed network embedding via subspace discovery

Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series

Introduction to the special issue for the ECML PKDD 2019 journal track

FURL: Fixed-memory and uncertainty reducing local triangle counting for multigraph streams

Counts-of-counts similarity for prediction and search in relational data

Mining skypatterns in fuzzy tensors

Temporal density extrapolation using a dynamic basis approach

Robust active attacks on social graphs

Multi-location visibility query processing using portion-based transactional modeling and pattern mining

Finding lasting dense subgraphs

Deeply supervised model for click-through rate prediction in sponsored search

Classification with label noise: a Markov chain sampling framework