KNOWLEDGE AND INFORMATION SYSTEMS

Normalisation of imprecise temporal expressions extracted from text

Review of English literature on figurative language applied to social networks

Load balanced task scheduling for cloud computing: a probabilistic approach

A new order relation for Pythagorean fuzzy numbers and application to multi-attribute group decision making

A review of mobile sensing systems, applications, and opportunities

Real-time detection of driver distraction: random projections for pseudo-inversion-based neural training

An intelligence approach for group stock portfolio optimization with a trading mechanism

RELINE: point-of-interest recommendations using multiple network embeddings

A deep transfer learning approach for improved post-traumatic stress disorder diagnosis

Combining semantic and term frequency similarities for text clustering

Mining maritime traffic conflict trajectories from a massive AIS data

Finding events in temporal networks: segmentation meets densest subgraph discovery

Online sales prediction via trend alignment-based multitask recurrent neural networks

From decision knowledge to e-government expert systems: the case of income taxation for foreign artists in Belgium

A novel fuzzy rule extraction approach using Gaussian kernel-based granular computing

Spatio-temporal neural networks for space-time data modeling and relation discovery

Identifying at-risk students based on the phased prediction model

Sentiment analysis on big sparse data streams with limited labels

Case notion discovery and recommendation: automated event log building on databases

A scalable privacy-preserving framework for temporal record linkage

Recurrent random forest for the assessment of popularity in social media

A new local density and relative distance based spectrum clustering

Nearest base-neighbor search on spatial datasets

Rate of change analysis for interestingness measures

A pruning strategy to improve pairwise comparison-based near-duplicate detection

On the calculation of the strength of threats

Exploiting patterns to explain individual predictions

Multi-label crowd consensus via joint matrix factorization

Mentor-spotting: recommending expert mentors to mentees for live trouble-shooting in Codementor

An approach based on mixed hierarchical clustering and optimization for graph analysis in social media network: toward globally hierarchical community structure

Memory-based random walk for multi-query local community detection

Mutual clustering on comparative texts via heterogeneous information networks

Consistent updating of databases with marked nulls

Bottom-up approaches to achieve Pareto optimal agreements in group decision making

Locally and globally explainable time series tweaking

An integrated trust establishment model for the internet of agents

Discovering frequent chain episodes

Local low-rank Hawkes processes for modeling temporal user–item interactions

An adjustable fuzzy classification algorithm using an improved multi-objective genetic strategy based on decomposition for imbalance dataset

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Detecting outliers with one-class selective transfer machine

Queries of K-discriminative paths on road networks

Automatic attribute construction for basketball modelling

Scalable algorithms for locally low-rank matrix modeling

Dynamically updating approximations based on multi-threshold tolerance relation in incomplete interval-valued decision information systems

Fast generation of sequential patterns with item constraints from concise representations

Kernel conditional clustering and kernel conditional semi-supervised learning