A survey of query result diversification
Online evaluation of bid prediction models in a large-scale computational advertising platform: decision making and insights
Efficient and scalable labeled subgraph matching using SGMatch
The MASSIF platform: a modular and semantic platform for the development of flexible IoT services
Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data
Community detection in social networks using user frequent pattern mining
Role updating in information systems using model checking
Supervised item response models for informative prediction
Context-dependent combination of sensor information in Dempster–Shafer theory for BDI
Building semantic kernels for cross-document knowledge discovery using Wikipedia
A formal framework to represent spatial knowledge
Intelligent data analysis approaches to churn as a business problem: a survey
Minimizing conservativity violations in ontology alignments: algorithms and evaluation
Sequential pattern mining in databases with temporal uncertainty
A semi-supervised approach to sentiment analysis using revised sentiment strength based on SentiWordNet
FDHUP: Fast algorithm for mining discriminative high utility patterns
Incremental reinforcement learning for multi-objective robotic tasks
Fast affinity propagation clustering based on incomplete similarity matrix
Language identification of multilingual posts from Twitter: a case study
Finding multiple stable clusterings
Compressed double-array tries for string dictionaries supporting fast lookup
Parallel construction of wavelet trees on multicore architectures
Can classification performance be predicted by complexity measures? A study using microarray data
A survey of methods for time series change point detection
Exceptionally monotone models—the rank correlation model class for Exceptional Model Mining
Adaptive query relaxation and top-k result ranking over autonomous web databases
Markov logic networks for adverse drug event extraction from text
A distributed approach for accelerating sparse matrix arithmetic operations for high-dimensional feature selection
Constrained recommendations for query visualizations
Domain-agnostic discovery of similarities and concepts at scale
Measuring similarity of users with qualitative preferences for service selection
EFIM: a fast and memory efficient algorithm for high-utility itemset mining
Indexed list-based high utility pattern mining with utility upper-bound reduction and pattern combination techniques
Weighted-object ensemble clustering: methods and analysis
Decision-making and opinion formation in simple networks
