Big data analytics and knowledge discovery : 17th International Conference, DaWaK 2015, Valencia, Spain, September 1-4, 2015, Proceedings /: 17th International Conference, DaWaK 2015, Valencia, Spain, September 1-4, 2015, Proceedings. (2015)

• Record Type: Book
• Other Titles: DaWaK 2015
• Further Information: Note: Sanjay Madria, Takahiro Hara (eds.).
• Editors: Madria, Sanjay; Hara, Takahiro
• Other Names: DaWaK (Conference), 17th
• Contents: Intro; Preface; Organization; Contents; Similarity Measure and Clustering; Determining Query Readiness for Structured Data; 1 Introduction; 2 Formalizing Data Readiness Level; 2.1 Toll Booth Example -- Traffic Flow Identification; 2.2 Data Readiness Level: Intuition and Preliminaries; 2.3 The Relevance Dimension of DRL; 2.4 The Completeness Dimension of DRL; 2.5 Putting It Together: Data Readiness Level Tuples; 3 Improving Readiness Level of Data for Task at Hand; 3.1 Taxonomy of DRL-Improving Operators; 3.2 Illustration Using the Running Example; 4 Use Case: Marketing via Targeted Mailings 5 Related Work6 Conclusion and Future Work; References; Efficient Cluster Detection by Ordered Neighborhoods; 1 Introduction; 2 Formal Properties; 2.1 Clustering in Neighborhoods; 2.2 Ordered Neighborhoods; 3 Mining the Neighborhoods; 3.1 Complexity Analysis; 4 Empirical Evaluation; 4.1 Experimental Setup; 4.2 Heterogeneous Datasets; 4.3 Scalability Results; 4.4 Real World Datasets; 5 Conclusion; References; Unsupervised Semantic and Syntactic Based Classification of Scientific Citations; 1 Introduction; 2 Related Work; 3 Citation Clustering; 3.1 Semantic-Based Model 3.2 Syntactic-Based Model4 Experiments, Results and Evaluation; 5 Conclusion and Future Work; References; Data Mining; HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values; 1 Introduction; 2 Related Work; 3 Preliminaries; 3.1 Online Frequent Itemsets Mining; 3.2 Influence Factor; 4 High Influence Tree (HI-Tree); 4.1 HI-Tree Structure; 4.2 HI-Tree Construction; 4.3 HI-Tree Mining; 5 Experimental Evaluation; 5.1 Varying Minimum Threshold; 5.2 Reduction Ratio; 5.3 Scalability Test and Rule Validation; 6 Conclusion and Future Work; References Balancing Tree Size and Accuracy in Fast Mining of Uncertain Frequent Patterns1 Introduction and Related Works; 2 Background; 3 Our MUF-tree Structure; 4 Our MUF-growth Algorithm; 5 Evaluation Results; 5.1 Analytical Evaluation; 5.2 Empirical Evaluation; 6 Conclusions; References; Secure Outsourced Frequent Pattern Mining by Fully Homomorphic Encryption; 1 Introduction; 2 Related Works; 3 Preliminaries; 3.1 Frequent Pattern Mining Problem; 3.2 Secure Outsourced Mining by Fully Homomorphic Encryption; 3.3 A Variant of the Apriori Algorithm; 4 Secured Protocol Based on FHE for Pattern Mining 5 Privacy Preserving Protocol for Pattern Mining5.1 The Notion of -Pattern Uncertainty; 5.2 Privacy Preserving Protocol for Counting Candidates; 6 Experimental Evaluation; 7 Conclusions and Future Work; References; Supervised Evaluation of Top-k Itemset Mining Algorithms; 1 Introduction; 2 Problem Statement and Algorithms; 2.1 Notation and Problem Statement; 2.2 Minimizing Noise (Asso); 2.3 Minimizing the Pattern Set Complexity (Hyper+); 2.4 Minimizing Multiple Cost Functions (PaNDa+ Framework); 3 Evaluation Methodology and Experiments; 3.1 Parameter Setting of Pattern Mining Algorithms
• Publisher Details: Cham : Springer
• Publication Date: 2015
• Extent: 1 online resource (xiii, 418 pages), illustrations
• Subjects: 005.74; Computer science; Database management -- Congresses; Big data -- Congresses; Data mining -- Congresses; Big data; Data mining; Database management; Computer Science; Engineering & Applied Sciences; Computers -- Database Management -- Data Mining; Computers -- Data Processing; Computers -- System Administration -- Storage & Retrieval; Computers -- Information Technology; Data mining; Public administration; Information retrieval; Database management; Data mining; Information systems; Information storage and retrieva; Computers -- Database Management -- General; Databases; Electronic books; Conference papers and proceedings; Electronic books
• Languages: English
• ISBNs: 9783319227290; 3319227297; 3319227289; 9783319227283
• Related ISBNs: 9783319227283
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed August 14, 2015).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.