Survey of distance measures for quantifying concept drift and shift in numeric data
A survey of sentiment analysis in social media
Distributing Frank–Wolfe via map-reduce
Discovering commute patterns via process mining
Similarity reasoning in formal concept analysis: from one- to many-valued contexts
Recurrent collective classification
Community detection using multilayer edge mixture model
Dropout non-negative matrix factorization
Virus propagation: threshold conditions for multiple profile networks
New activation weight calculation and parameter optimization for extended belief rule-based system based on sensitivity analysis
Graph clustering-based discretization approach to microarray data
An approach based on mixed hierarchical clustering and optimization for graph analysis in social media network: toward globally hierarchical community structure
Two improved attribute weighting schemes for value difference metric
Local and global characteristics-based kernel hybridization to increase optimal support vector machine performance for stock market prediction
Flow Regime Algorithm (FRA): a physics-based meta-heuristics algorithm
Two privacy-preserving approaches for data publishing with identity reservation
Related families-based methods for updating reducts under dynamic object sets
Similarity measures for time series data classification using grid representation and matrix distance
Introducing time series chains: a new primitive for time series data mining
Correction to: Virus propagation: threshold conditions for multiple profile networks
Overview of the crowdsourcing process
Spatiotemporal traffic network analysis: technology and applications
Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise
Modeling and implementing distributed data mining strategies in JaCa-DDM
High-throughput and scalable protein function identification with Hadoop and Map-only pattern of the MapReduce processing model
Dynamic windowing mechanism to combine sentiment and N-gram analysis in detecting events from social media
GoGP: scalable geometric-based Gaussian process for online regression
Monitoring e-commerce adoption from online data
Temporal popularity prediction of locations for geographical placement of retail stores
Performance and cost-effectiveness of change burst metrics in predicting software faults
Integrated anchor and social link predictions across multiple social networks
A novel approach for salient object detection using double-density dual-tree complex wavelet transform in conjunction with superpixel segmentation
A new emotional robot assistant that facilitates human interaction and persuasion
Filtering Bayesian optimization approach in weakly specified search space
Ranking the big sky: efficient top-k skyline computation on massive data
Discovering frequent chain episodes
Preference modeling by exploiting latent components of ratings
Personalized itinerary recommendation with time constraints using GPS datasets
A local expansion propagation algorithm for social link identification
Variational data generative model for intrusion detection
The big data system, components, tools, and technologies: a survey
Tour recommendation and trip planning using location-based social media: a survey
Telling cause from effect by local and global regression
Encrypted data indexing for the secure outsourcing of spectral clustering
Concept-evolution detection in non-stationary data streams: a fuzzy clustering approach
Mapping sentences to concept transferred space for semantic textual similarity
Secret sharing scheme based on binary trees and Boolean operation
Coupled intrinsic and extrinsic human language resource-based query expansion
A modified content-based evolutionary approach to identify unsolicited emails
Information theoretic-PSO-based feature selection: an application in biomedical entity extraction
Compact and efficient representation of general graph databases
PRS: efficient range skyline computation on massive data via presorting
Real-time detection of driver distraction: random projections for pseudo-inversion-based neural training
A trust-based detection scheme to explore anomaly prevention in social networks
Emergence of divisional cooperation with negotiation and re-learning and evaluation of flexibility in continuous cooperative patrol problem
Collective entity linking: a random walk-based perspective
Enriching behavior patterns with learning styles using peripheral devices
The multi-walker chain and its application in local community detection
A deep transfer learning approach for improved post-traumatic stress disorder diagnosis
Utilizing electronic health records to predict multi-type major adverse cardiovascular events after acute coronary syndrome
