Searchable encryption approaches: attacks and challenges
In-memory transaction processing: efficiency and scalability considerations
Spatio-temporal neural networks for space-time data modeling and relation discovery
Parameter investigation of support vector machine classifier with kernel functions
A new rule-based knowledge extraction approach for imbalanced datasets
Mining frequent and top-K High Utility Time Interval-based Events with Duration patterns
Normalisation of imprecise temporal expressions extracted from text
An expected win rate-based real-time bidding strategy for branding campaigns on display advertising
A weakest link-driven global QoS adjustment approach for optimizing the execution of a composite web service
Scalable algorithms for locally low-rank matrix modeling
Combining semantic and term frequency similarities for text clustering
Similarity join on time series by utilizing a dynamic segmentation index
Collective entity resolution in multi-relational familial networks
An adjustable fuzzy classification algorithm using an improved multi-objective genetic strategy based on decomposition for imbalance dataset
Load balanced task scheduling for cloud computing: a probabilistic approach
Query answering over uncertain RDF knowledge bases: explain and obviate unsuccessful query results
Data-driven efficient network and surveillance-based immunization
Categorizing relational facts from the web with fuzzy rough sets
Tag-based information access in image collections: insights from log and eye-gaze analyses
k-Degree anonymity on directed networks
Investigations into Data Ecosystems: a systematic mapping study
Patent retrieval: a literature review
Leveraging external information in topic modelling
Cost optimization based on influence and user preference
Social computing in currency exchange
A hybrid heuristic algorithm for evolving models in simultaneous scenarios of classification and clustering
Mentor-spotting: recommending expert mentors to mentees for live trouble-shooting in Codementor
A novel fuzzy rule extraction approach using Gaussian kernel-based granular computing
PPR-partitioning: a distributed graph partitioning algorithm based on the personalized PageRank vectors in vertex-centric systems
GOAL: a clustering-based method for the group optimal location problem
Joint prediction of time series data in inventory management
A pruning strategy to improve pairwise comparison-based near-duplicate detection
A new local density and relative distance based spectrum clustering
Fast network discovery on sequence data via time-aware hashing
Bottom-up approaches to achieve Pareto optimal agreements in group decision making
Learning concept embeddings for dataless classification via efficient bag-of-concepts densification
Enhancing stock market prediction with extended coupled hidden Markov model over multi-sourced data
A knowledge-based approach to multiplayer games in peer-to-peer networks
Incorporating word embeddings into topic modeling of short text
Meta-analysis of evaluation methods and metrics used in context-aware scholarly recommender systems
A survey of statistical approaches for query expansion
Autonomic workload performance tuning in large-scale data repositories
Scalable approximations to k-cycle transversal problems on dynamic networks
Two-hop privacy-preserving nearest friend searches
A graph-based meta-model for heterogeneous data management
Multi-label dataless text classification with topic modeling
Coordination with erroneous communication: results of an agent-based simulation
Utility-based feature selection for text classification
AutoRepair: an automatic repairing approach over multi-source data
Markov chain analysis in agent-based model calibration by classical and simulated minimum distance
Heuristic attribute reduction and resource-saving algorithm for energy data of data centers
SNOD: a fast sampling method of exploring node orbit degrees for large graphs
Effective and efficient location influence mining in location-based social networks
F2ConText: how to extract holistic contexts of persons of interest for enhancing exploratory analysis
Short-term trend prediction in financial time series data
MH-DAGMiner: maximal hierarchical sub-DAG mining in directed weighted networks
Improving short-text representation in convolutional networks by dependency parsing
Conditional adjacency anonymity in social graphs under active attacks
HIME: discovering variable-length motifs in large-scale time series
A formal characterization of the outcomes of rule-based argumentation systems
