1 Table of Contents: “...Structure Inference for Linked Data Sources Using Clustering -- The Web Within: Leveraging Web...”

2 Table of Contents: “...: Handling Popular Range Queries in DHTs -- Context-Aware Cache Management in Grid Middleware -- P2P Data...”

3 Table of Contents: “... -- Grid Systems -- AGiDS: A Grid-Based Strategy for Distributed Skyline Query Processing -- A Virtual Data...”

4 Table of Contents: “...Data Storage and Management -- High Throughput Data-Compression for Cloud Storage -- Merging File...”

5 Subjects: “...Electronic data processing / Management...”

6 Subjects: “...Data mining...”

7 Subjects: “...Data Storage Representation...”

8 “...Transactions on Large-Scale Data- and Knowledge-Centered Systems...”

9 Subjects: “...Data mining...”

10 Table of Contents: “... Generation, from Prototypes to better Specifications -- Applying Data Analytic Techniques for Fault Detection...”

11 Table of Contents: “...Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data -- Frequent Item-set Border...”

12 Table of Contents: “...Clock-G: Temporal graph management system -- TSPredIT: Integrated tuning of data preprocessing...”

13 “...Transactions on Large-Scale Data- and Knowledge-Centered Systems...”

14 Table of Contents: “... Queries in Presence of Partial and Dynamic Orders -- Ensuring License Compliance in Linked Data with Query...”

15 Table of Contents: “... -- Incremental Schema Generation for Large and Evolving RDF Sources -- Optimizing Data Coverage and Significance...”

16 Table of Contents: “... with Active Learning of Data Streams -- Efficient Single Pass Ordered Incremental Pattern Mining -- Finding...”

17 Table of Contents: “... Maintenance in Data Warehouses Using Incremental ETL Pipeline...”

18 Table of Contents: “... Web Application Design -- Mining Multiple Related Data Sources Using Object-Oriented Models...”

19 Table of Contents: “... Database with GPU Support -- A Global Paradigm for Designing Parallel Relational Data Warehouses...”

20 Table of Contents: “... for Agricultural Open Data -- Learning-Oriented Question Recommendation Using Bloom’s Learning -- Taxonomy...”