Reasoning with smart objects’ affordance for personalized behavior monitoring in pervasive information systems
Trajectory splicing
ProSecCo: progressive sequence mining with convergence guarantees
Multi-label crowd consensus via joint matrix factorization
A new last aggregation method of multi-attributes group decision making based on concepts of TODIM, WASPAS and TOPSIS under interval-valued intuitionistic fuzzy uncertainty
Sentiment analysis on big sparse data streams with limited labels
Parallel co-location mining with MapReduce and NoSQL systems
Micro- and macro-level churn analysis of large-scale mobile games
Effective construction of classifiers with the k-NN method supported by a concept ontology
On the calculation of the strength of threats
Measuring similarity and relatedness using multiple semantic relations in WordNet
Consistent updating of databases with marked nulls
Finding events in temporal networks: segmentation meets densest subgraph discovery
A benchmarking tool for the generation of bipartite network models with overlapping communities
A survey of state-of-the-art approaches for emotion recognition in text
Random walk-based entity representation learning and re-ranking for entity search
Exploiting review embedding and user attention for item recommendation
Supervised learning as an inverse problem based on non-smooth loss function
Decision support for personalized hospital choice using the DEX hierarchical model with SMAA
Online anomaly search in time series: significant online discords
L-BiX: incremental sliding-window aggregation over data streams using linear bidirectional aggregating indexes
Improved covering-based collaborative filtering for new users’ personalized recommendations
SUM-optimal histograms for approximate query processing
Lexifield: a system for the automatic building of lexicons by semantic expansion of short word lists
Simple supervised dissimilarity measure: Bolstering iForest-induced similarity with class information without learning
Feature extraction from null and non-null spaces of kernel local discriminant embedding
Recommender systems with selfish users
The examination of the effect of the criterion for neural network’s learning on the effectiveness of the qualitative analysis of multidimensional data
CAMAR: a broad learning based context-aware recommender for mobile applications
A scalable and effective rough set theory-based approach for big data pre-processing
Sentiment lexicons and non-English languages: a survey
A descriptive framework for the field of knowledge management
Surface pattern-enhanced relation extraction with global constraints
Deep end-to-end learning for price prediction of second-hand items
A fuzzy-AHP-based approach to select software architecture based on quality attributes (FASSA)
Exploring the collective human behavior in cascading systems: a comprehensive framework
Cross-domain recommender system using generalized canonical correlation analysis
SLA-driven resource re-allocation for SQL-like queries in the cloud
Automatic role identification for research teams with ranking multi-view machines
Big high-dimension data cube designs for hybrid memory systems
Relevant feature selection and ensemble classifier design using bi-objective genetic algorithm
Dataset-Transformation: improving clustering by enhancing the structure with DipScaling and DipTransformation
HEEL: exploratory entity linking for heterogeneous information networks
Clustering analysis using a novel locality-informed grey wolf-inspired clustering approach
Automatic attribute construction for basketball modelling
Random walk-based ranking in signed social networks: model and algorithms
Measures of uncertainty for knowledge bases
Leader-aware community detection in complex networks
Anomaly detection of event sequences using multiple temporal resolutions and Markov chains
Dynamic clustering of interval data based on hybrid \(L_q\) distance
Unsupervised online change point detection in high-dimensional time series
A new order relation for Pythagorean fuzzy numbers and application to multi-attribute group decision making
Measuring the diversity of recommendations: a preference-aware approach for evaluating and adjusting diversity
Generating synthetic positive and negative business process traces through abduction
Scalability and sparsity issues in recommender datasets: a survey
A scalable privacy-preserving framework for temporal record linkage
An integrated trust establishment model for the internet of agents
Resolution-based rewriting for Horn-\(\mathcal {SHIQ}\) ontologies
A review of mobile sensing systems, applications, and opportunities
Mutual clustering on comparative texts via heterogeneous information networks
Histogram-based clustering of multiple data streams
Rate of change analysis for interestingness measures
Mining maritime traffic conflict trajectories from a massive AIS data
An intelligence approach for group stock portfolio optimization with a trading mechanism
Constructing biomedical domain-specific knowledge graph with minimum supervision
Analysis of loss functions for fast single-class classification
Exploiting block co-occurrence to control block sizes for entity resolution
Multi-agent system application for music features extraction, meta-classification and context analysis
A survey of recent methods on deriving topics from Twitter: algorithm to evaluation
Label similarity-based weighted soft majority voting and pairing for crowdsourcing
Case notion discovery and recommendation: automated event log building on databases
On spatial keyword covering
Location histogram privacy by Sensitive Location Hiding and Target Histogram Avoidance/Resemblance
Verifying the manipulation of data objects according to business process and data models
Fraud detection via behavioral sequence embedding
Improving the \(\epsilon \)-approximate algorithm for Probabilistic Classifier Chains
Navigation leads for exploratory search and navigation in digital libraries
Fast and memory-efficient algorithms for high-order Tucker decomposition
A multi-breakpoints approach for symbolic discretization of time series
PCA-based drift and shift quantification framework for multidimensional data
A compact firefly algorithm for matching biomedical ontologies
Coverage-based query subtopic diversification leveraging semantic relevance
Review selection based on content quality
Cyber security incidents analysis and classification in a case study of Korean enterprises
Review of English literature on figurative language applied to social networks
Online sales prediction via trend alignment-based multitask recurrent neural networks
DBkWik: extracting and integrating knowledge from thousands of Wikis
Fast generation of sequential patterns with item constraints from concise representations
A decision support system for service recovery in affective computing: an experimental investigation
Scalable recovery of missing blocks in time series with high and low cross-correlations
Incremental community discovery via latent network representation and probabilistic inference
Outsourcing analyses on privacy-protected multivariate categorical data stored in untrusted clouds
Collaborative online ranking algorithms for multitask learning
Extreme pivots: a pivot selection strategy for faster metric search
Semi-supervised multi-label feature learning via label enlarged discriminant analysis
Missing data imputation using decision trees and fuzzy clustering with iterative learning
English–Arabic collocation extraction to enhance Arabic collocation identification
Enhancing supervised bug localization with metadata and stack-trace
Framework for extreme imbalance classification: SWIM—sampling with the majority class
Nearest base-neighbor search on spatial datasets
Kernel conditional clustering and kernel conditional semi-supervised learning
Exploiting patterns to explain individual predictions
Integrating learned and explicit document features for reputation monitoring in social media
Identifying at-risk students based on the phased prediction model
A systematic framework of predicting customer revisit with in-store sensors
Evidential positive opinion influence measures for viral marketing
Dynamically updating approximations based on multi-threshold tolerance relation in incomplete interval-valued decision information systems
Local low-rank Hawkes processes for modeling temporal user–item interactions
Accelerating pattern-based time series classification: a linear time and space string mining approach
Information-preserving abstractions of event data in process mining
High average-utility sequential pattern mining based on uncertain databases
Two approaches for clustering algorithms with relational-based data
Locally and globally explainable time series tweaking
An FPA and GA-based hybrid evolutionary algorithm for analyzing clusters
CDLFM: cross-domain recommendation for cold-start users via latent feature mapping
Queries of K-discriminative paths on road networks
Detecting outliers with one-class selective transfer machine
Structured query construction via knowledge graph embedding
Recurrent random forest for the assessment of popularity in social media
An effective few-shot learning approach via location-dependent partial differential equation
Improved algorithms for extrinsic author verification
\({\textsf {SecDM}}\): privacy-preserving data outsourcing framework with differential privacy
Machine learning friendly set version of Johnson–Lindenstrauss lemma
From decision knowledge to e-government expert systems: the case of income taxation for foreign artists in Belgium
Sequential pattern sampling with norm-based utility
Memory-based random walk for multi-query local community detection
Correction to: Memory-based random walk for multi-query local community detection
An efficient projection-based method for high utility itemset mining using a novel pruning approach on the utility matrix
Fast LSTM by dynamic decomposition on cloud and distributed systems
Integrating researchers’ scientific production information through Ogmios
Discovering dependencies with reliable mutual information
Service cost-based resource optimization and load balancing for edge and cloud environment
A joint optimization framework for better community detection based on link prediction in social networks
SNOWL model: social networks unification-based semantic data integration
An experimental study of graph-based semi-supervised classification with additional node information
Pythagorean fuzzy MULTIMOORA method based on distance measure and score function: its application in multicriteria decision making process
Multi-objective Bonobo Optimizer (MOBO): an intelligent heuristic for multi-criteria optimization
A systematic survey on collaborator finding systems in scientific social networks
Modeling, learning, and simulating human activities of daily living with behavior trees
Learning sequence-to-sequence affinity metric for near-online multi-object tracking
Mining evolutions of complex spatial objects using a single-attributed Directed Acyclic Graph
A search space optimization method for fuzzy access control auditing
Fisher-regularized supervised and semi-supervised extreme learning machine
Regularising LSTM classifier by transfer learning for detecting misogynistic tweets with small training set
Bag of biterms modeling for short texts
Efficient computation of the convex hull on sets of points stored in a k-tree compact data structure
Precise temporal slot filling via truth finding with data-driven commonsense
A survey on context awareness in big data analytics for business applications
A survey on influence maximization in a social network
Bayesian network classifiers using ensembles and smoothing
Measuring time-sensitive user influence in Twitter
Discovery of evolving companion from trajectory data streams
A novel possibilistic artificial immune-based classifier for course learning outcome enhancement
EAFIM: efficient apriori-based frequent itemset mining algorithm on Spark for big transactional data
Empower rumor events detection from Chinese microblogs with multi-type individual information
“Just-in-time” generation of datasets by considering structured representations of given consent for GDPR compliance
Enhancing unsupervised domain adaptation by discriminative relevance regularization
Decision model change patterns for dynamic system evolution
Tell me something my friends do not know: diversity maximization in social networks
Survival neural networks for time-to-event prediction in longitudinal study
Rule extraction from neural network trained using deep belief network and back propagation
TAILOR: time-aware facility location recommendation based on massive trajectories
PragmaticOIE: a pragmatic open information extraction for Portuguese language
