New Trends in Databases and Information Systems

1. Front Matter

   Pages 1-12

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2. GPUs in Databases

   1. Front Matter

      Pages 1-1

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   2. Applying CUDA Technology in DCT-Based Method of Query Selectivity Estimation

      • Dariusz Rafal Augustyn, Sebastian Zederowski

      Pages 3-12

   3. Processing of Range Query Using SIMD and GPU

      • Pavel Bednář, Petr Gajdoš, Michal Krátký, Peter Chovanec

      Pages 13-25

   4. Towards Optimization of Hybrid CPU/GPU Query Plans in Database Systems

      • Sebastian Breß, Eike Schallehn, Ingolf Geist

      Pages 27-35

   5. Thrust and CUDA in Data Intensive Algorithms

      • Krzysztof Kaczmarski, Paweł Rzążewski

      Pages 37-46

3. Mining Complex and Stream Data

   1. Front Matter

      Pages 47-47

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   2. A Detection of the Most Influential Documents

      • Dariusz Ceglarek, Konstanty Haniewicz

      Pages 49-58

   3. Approximation Algorithms for Massive High-Rate Data Streams

      • Alfredo Cuzzocrea

      Pages 59-68

   4. Comparing Block Ensembles for Data Streams with Concept Drift

      • Magdalena Deckert, Jerzy Stefanowski

      Pages 69-78

   5. Adapting Travel Time Estimates to Current Traffic Conditions

      • Przemysław Gaweł, Krzysztof Dembczyński, Robert Susmaga, Przemysław Wesołek, Piotr Zielniewicz, Andrzej Jaszkiewicz

      Pages 79-88

   6. SONCA: Scalable Semantic Processing of Rapidly Growing Document Stores

      • Marek Grzegorowski, Przemysław Wiktor Pardel, Sebastian Stawicki, Krzysztof Stencel

      Pages 89-98

   7. Collective Classification Techniques: An Experimental Study

      • Tomasz Kajdanowicz, Przemyslaw Kazienko, Marcin Janczak

      Pages 99-108

   8. Granular Knowledge Discovery Framework

      • Adam Krasuski, Dominik Ślęzak, Karol Kreński, Stanisław Łazowy

      Pages 109-118

   9. Diversity in Ensembles for One-Class Classification

      • Bartosz Krawczyk

      Pages 119-129

   10. Evaluation of Stream Data by Formal Concept Analysis

       • Martin Radvanský, Vladimír Sklenář, Václav Snášel

       Pages 131-140

   11. Soft Competitive Learning for Large Data Sets

       • Frank-Michael Schleif, Xibin Zhu, Barbara Hammer

       Pages 141-151

   12. Enhancing Concept Drift Detection with Simulated Recurrence

       • Piotr Sobolewski, Michał Woźniak

       Pages 153-162

   13. DeltaDens – Incremental Algorithm for On–Line Density–Based Clustering

       • Radosław Z. Ziembiński

       Pages 163-172

4. Ontologies Meet Advanced Information Systems

   1. Front Matter

      Pages 173-173

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Database and information systems technologies have been rapidly evolving in several directions over the past years. New types and kinds of data, new types of applications and information systems to support them raise diverse challenges to be addressed. The so-called big data challenge, streaming data management and processing, social networks and other complex data analysis, including semantic reasoning into information systems supporting for instance trading, negotiations, and bidding mechanisms are just some of the emerging research topics. This volume contains papers contributed by six workshops: ADBIS Workshop on GPUs in Databases (GID 2012), Mining Complex and Stream Data (MCSD'12), International Workshop on Ontologies meet Advanced Information Systems (OAIS'2012), Second Workshop on Modeling Multi-commodity Trade: Data models and processing (MMT'12), 1st ADBIS Workshop on Social Data Processing (SDP'12), 1st ADBIS Workshop on Social and Algorithmic Issues in Business Support (SAIBS), and the Ph.D. Consortium associated with the ADBIS 2012 conference that report on the recent developments and an ongoing research in the aforementioned areas.

• Artificial Intelligence
• Computational Intelligence
• Databases
• Information Systems
• Intelligent Computing

• , Department of Computer Science, Eindhoven University of Technology, Eindhoven, Netherlands

  Mykola Pechenizkiy

• Institute of Computing Science, Poznan University of Technology, Poznan, Poland

  Marek Wojciechowski

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