Database and Expert Systems Applications

Distributed, Parallel, P2P, Grid and Cloud databases.- Looking into the Peak Memory Consumption of Epoch-based Reclamation in Scalable In-Memory Database Systems.- Energy Efficient Data Placement and Buffer Management for Multiple Replication.- Querying Knowledge Graphs with Natural Languages.- Explaining Query Answer Completeness and Correctness With Partition Patterns.- Information Retrieval.- Research Paper Search Using a Topic-based Boolean Query Search and a General Query-based Ranking Model.- Extractive Document Summarization using Non-negative Matrix Factorization.- Succinct BWT-based Sequence prediction.- TRR: Reducing Crowdsourcing Task Redundancy.- Software Resource Recommendation for Process Execution based on the Organization's Profile.- An Experiment to Analyze the Use of Process Modeling Guidelines to Create High-Quality Process Models.- Semantic Web and Ontologies.- Novel Node Importance Measures to Improve Keyword Search over RDF Graphs.- Querying in a Workload-aware Triplestore based on NoSQL Databases.- Reverse Partitioning for SPARQL Queries: Principles and Performance Analysis.- PFed: Recommending Plausible Federated SPARQL Queries.- Representing and Reasoning about Precise and Imprecise Time Points and Intervals in Semantic Web: Dealing with Dates and Time Clocks.- Information Processing.- Context-Aware Multi-Criteria Recommendation Based on Spectral Graph Partitioning.- SilverChunk: An Efficient In-Memory Parallel Graph Processing System.- A modular approach for efficient simple question answering over knowledge base.- Scalable Machine Learning in the R Language Using a Summarization Matrix.- ML-PipeDebugger: A Debugging Tool for Data Processing Pipelines.- Temporal, Spatial, and High Dimensional Databases.- Correlation Set Discovery on Time-series Data.- Anomaly Subsequence Detection with Dynamic Local Density for Time Series.- Trajectory Similarity Join for Spatial Temporal Database.- Knowledge Discovery.- Multiviewpoint-based Agglomerative Hierarchical Clustering.- Triplet-CSSVM: Integrating Triplet-Sampling CNN and Cost-Sensitive Classification for Imbalanced Image Detection.- Discovering Partial Periodic High Utility Itemsets in Temporal Databases.- Using Mandatory Concepts for Knowledge Discovery and Data Structuring.- Topological Data Analysis with epsilon-net Induced Lazy Witness Complex.- Analyzing Sequence Pattern Variants in Sequential Pattern Mining and its Application to Electronic Medical Record Systems.- Web Services.- Composing Distributed Data-intensive Web services using Distance-guided Memetic Algorithm.- Keyword Search based Mashup Construction with Guaranteed Diversity.- Using EDA-Based Local Search to improve the performance of NSGA-II for Multiobjective Semantic Web Service Composition.- Adaptive Caching for Data-Intensive Scientific Workflows in the Cloud.