• Reflective Constraint Writing
• PPP-Codes for Large-Scale Similarity Searching
• Solving Data Mismatches in Bioinformatics Workflows by Generating Data Converters
• A Framework for Sampling-Based XML Data Pricing
• kdANN+: A Rapid AkNN Classifier for Big Data
• Optimizing Inter-Data-Center Large-Scale Database Parallel Replication with Workload-Driven Partitioning
• Anonymization of Data Sets with NULL Values.

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 24th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of seven papers presented at the 25th International Conference on Database and Expert Systems Applications, DEXA 2014, held in Munich, Germany, in September 2014. Following the conference, and two further rounds of reviewing and selection, six extended papers and one invited keynote paper were chosen for inclusion in this special issue. Topics covered include systems modeling, similarity search, bioinformatics, data pricing, k-nearest neighbor querying, database replication, and data anonymization.

• On Expedited Rating of Data Stores
• A Theoretical and Experimental Comparison of Filter-Based Equijoins in MapReduce
• Constraint Optimization Method for Large-Scale Distributed View Selection
• On the Selection of SPARQL Endpoints to Efficiently Execute Federated SPARQL Queries
• YAM: A Step Forward for Generating a Dedicated Schema Matcher.

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. <.

• Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data
• Frequent Item-set Border Approximation by Dualization
• Dynamic Materialization for Building Personalized Smart Cubes
• Opening up Data Analysis for Medical Health Services: Data Integration and Analysis in Cancer Registries with CARESS.

This volume, the 26th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Data Warehousing and Knowledge Discovery from Big Data, and contains extended and revised versions of four papers selected as the best papers from the 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2014), held in Munich, Germany, during September 1-5, 2014. The papers focus on data cube computation, the construction and analysis of a data warehouse in the context of cancer epidemiology, pattern mining algorithms, and frequent item-set border approximation.

• Development of a Measurement Scale for User Satisfaction with E-Tax Systems in Australia
• Data Driven Governments: Creating Value through Open Government Data
• Collaborative Construction of an Open Official Gazette
• A Solution to Visualize Open Urban Data for Illegally Parked Bicycles
• An Intelligent Hot-Desking Model Based on Occupancy Sensor Data and Its Potential for Social Impact
• Characterization of Behavioral Patterns Exploiting Description of Geographical Areas
• Analysis of Customers Spatial Distribution through Transaction Datasets
• Case Studies for Data-Oriented Emergency Management/Planning in Complex Urban Systems.

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 27th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of 12 papers presented at the Big Data and Technology for Complex Urban Systems symposium, held in Kauai, HI, USA in January 2016. The papers explore the use of big data in complex urban systems in the areas of politics, society, commerce, tax, and emergency management.

• Data Warehouse Processing Scale-Up for Massive Concurrent Queries with SPIN
• An Uncoupled Data Process and Transfer Model for Map Reduce
• Enhanced Fast Causal Network Inference over Event Streams
• Learning Through Non-linearly Supervised Dimensionality Reduction
• Metrics for Association Rule Clustering Assessment.

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 17th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of five papers, selected from the 24 full and 8 short papers presented at the 15th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2013, held in Prague, The Czech Republic, in August 2013. Of the five papers, two cover data warehousing aspects related to query processing optimization in advanced platforms, specifically Map Reduce and parallel databases, and three cover knowledge discovery, specifically the causal network inference problem, dimensionality reduction, and the quality-of-pattern-mining task.

• RFID Data Management and Analysis via Tensor Calculus / Roberto De Virgilio and Franco Milicchio
• Processing Exact Results for Windowed Stream Joins in a Memory-Limited System: A Disk-Based, Adaptive Approach / Abhirup Chakraborty and Ajit Singh
• Reducing the Semantic Heterogeneity of Unstructured P2P Systems: A Contribution Based on a Dissemination Protocol / Thomas Cerqueus, Sylvie Cazalens and Philippe Lamarre
• Towards a Scalable Semantic Provenance Management System / Mohamed Amin Sakka and Bruno Defude
• A Unified Conceptual Framework for Service-Oriented Computing / Aligning Models of Architecture and Utilization / Colin Atkinson, Philipp Bostan and Dirk Draheim.

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the seventh issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers on the following topics: data management, data streams, service-oriented computing, abstract algebraic frameworks, RDF and ontologies, and conceptual model frameworks.
(source: Nielsen Book Data)

• Cloud Computing: Read before Use.- Differential Erasure Codes for Efficient Archival of Versioned Data in Cloud Storage Systems.- Secure Integration of Third Party Components in a Model-Driven Approach.- Comprehending a Service by Informative Models.- Providing Ontology-Based Privacy-Aware Data Access through Web Services and Service Composition.
• (source: Nielsen Book Data)

This, the 30th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six in-depth papers focusing on the subject of cloud computing. Topics covered within this context include cloud storage, model-driven development, informative modeling, and security-critical systems.
(source: Nielsen Book Data)

• Sensitivity- An Important Facet of Cluster Validation Process for Entity Matching Technique
• Pay-as-You-Go Configuration of Entity Resolution
• A Unified View of Data-Intensive Flows in Business Intelligence Systems: A Survey
• A Self-Adaptive and Incremental Approach for Data Profiling in the Semantic Web.

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. <This, the 29th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains four revised selected regular papers. Topics covered include optimization and cluster validation processes for entity matching, business intelligence systems, and data profiling in the Semantic Web.