Data Warehousing and Knowledge Discovery

1. Data-Mining and Knowledge-Discovery Applications I

   1. Polarities, Axiallities and Marketability of Items

      • Dan A. Simovici, Paul Fomenky, Werner Kunz

      Pages 243-252

   2. RssE-Miner: A New Approach for Efficient Events Mining from Social Media RSS Feeds

      • Nabila Dhahri, Chiraz Trabelsi, Sadok Ben Yahia

      Pages 253-264

2. Pattern Mining

   1. k Nearest Neighbor Using Ensemble Clustering

      • Loai AbedAllah, Ilan Shimshoni

      Pages 265-278

   2. Collocation Pattern Mining in a Limited Memory Environment Using Materialized iCPI-Tree

      • Pawel Boinski, Maciej Zakrzewicz

      Pages 279-290

   3. Mining Popular Patterns from Transactional Databases

      • Carson Kai-Sang Leung, Syed K. Tanbeer

      Pages 291-302

3. Data Stream Mining

   1. Rare Pattern Mining on Data Streams

      • David Huang, Yun Sing Koh, Gillian Dobbie

      Pages 303-314

   2. A Single Pass Trellis-Based Algorithm for Clustering Evolving Data Streams

      • Simon Malinowski, Ricardo Morla

      Pages 315-326

   3. New Management Operations on Classifiers Pool to Track Recurring Concepts

      • Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy

      Pages 327-339

   4. Extrapolation Prefix Tree for Data Stream Mining Using a Landmark Model

      • Yun Sing Koh, Russel Pears, Gillian Dobbie

      Pages 340-351

4. Data-Mining and Knowledge-Discovery Applications II

   1. Dynamic Topography Information Landscapes – An Incremental Approach to Visual Knowledge Discovery

      • Kamran Ali Ahmad Syed, Mark Kröll, Vedran Sabol, Arno Scharl, Stefan Gindl, Michael Granitzer et al.

      Pages 352-363

   2. Classifying Websites into Non-topical Categories

      • Chaman Thapa, Osmar Zaiane, Davood Rafiei, Arya M. Sharma

      Pages 364-377

   3. Improving Cross-Document Knowledge Discovery Using Explicit Semantic Analysis

      • Peng Yan, Wei Jin

      Pages 378-389

5. Data Warehouse Confidentiality and Security

   1. Implementing a Data Lineage Tracker

      • Colin Puri, Doo Soon Kim, Peter Z. Yeh, Kunal Verma

      Pages 390-403

   2. Evaluating the Feasibility Issues of Data Confidentiality Solutions from a Data Warehousing Perspective

      • Ricardo Jorge Santos, Jorge Bernardino, Marco Vieira

      Pages 404-416

6. Distributed Paradigms and Algorithms

   1. A New Paradigm for Collaborating Distributed Query Engines

      • Qiming Chen, Meichun Hsu

      Pages 417-430

   2. A Lightweight Stream-Based Join with Limited Resource Consumption

      • M. Asif Naeem, Gillian Dobbie, Gerald Weber

      Pages 431-442

   3. MIRABEL DW: Managing Complex Energy Data in a Smart Grid

      • Laurynas Siksnys, Christian Thomsen, Torben Bach Pedersen

      Pages 443-457

7. Back Matter

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This book constitutes the refereed proceedings of the 14th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2012 held in Vienna, Austria, in September 2012. The 36 revised full papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in topical sections on data warehouse design methodologies, ETL methodologies and tools, multidimensional data processing and management, data warehouse and OLAP extensions, data warehouse performance and optimization, data mining and knowledge discovery techniques, data mining and knowledge discovery applications, pattern mining, data stream mining, data warehouse confidentiality and security, and distributed paradigms and algorithms.

• Web mining
• cloud computing
• data semantics
• decision support
• social networks

• ICAR-CNR and University of Calabria, Rende (CS), Italy

  Alfredo Cuzzocrea

• Hewlett Packard Labs, Palo Alto, USA

  Umeshwar Dayal

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