A systematic review of provenance systems
Sequential data classification by dynamic state warping
Hidden location prediction using check-in patterns in location-based social networks
ACE-RL-Checkers: decision-making adaptability through integration of automatic case elicitation, reinforcement learning, and sequential pattern mining
A Bayesian approach to forecasting daily air-pollutant levels
Time prediction on multi-perspective declarative business processes
Simulating outcomes of interventions using a multipurpose simulation program based on the evolutionary causal matrices and Markov chain
Two collaborative filtering recommender systems based on sparse dictionary coding
Learning sequential features for cascade outbreak prediction
Machine learning techniques for anti-money laundering (AML) solutions in suspicious transaction detection: a review
Bionic knowledge and information reuse methodology for uncertainty minimization in product design
Mining sequential patterns with itemset constraints
Automatic clustering using an improved artificial bee colony optimization for customer segmentation
Asymptotic Dynamic Time Warping calculation with utilizing value repetition
A novel ensemble-based wrapper method for feature selection using extreme learning machine and genetic algorithm
Energy-based anomaly detection for mixed data
Efficiently processing deterministic approximate aggregation query on massive data
Regression with small data sets: a case study using code surrogates in additive manufacturing
Distributed ReliefF-based feature selection in Spark
From sets of good redescriptions to good sets of redescriptions
Understanding item consumption orders for right-order next-item recommendation
Are we done with business process compliance: state of the art and challenges ahead
PatSearch: an integrated framework for patentability retrieval
DFuzzy: a deep learning-based fuzzy clustering model for large graphs
Evaluating knowledge management failure factors using intuitionistic fuzzy FMEA approach
A heterogeneous hidden Markov model for mobile app recommendation
Load forecasting through functional clustering and ensemble learning
