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Advances in Data Mining: Applications and Theoretical Aspects

14th Industrial Conference, ICDM 2014, St. Petersburg, Russia, July 16-20, 2014, Proceedings

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  • © 2014
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Overview

Editors:
  1. Petra Perner

    1. Institute of Computer Vision and Applied Computer Sciences, IBaI, Leipzig, Germany

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8557)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ICDM 2014.

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About this book

This book constitutes the refereed proceedings of the 14th Industrial Conference on Advances in Data Mining, ICDM 2014, held in St. Petersburg, Russia, in July 2014. The 16 revised full papers presented were carefully reviewed and selected from various submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture and in process control, industry and society.

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Table of contents (16 papers)

  1. Front Matter

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  2. Medical Data Mining

    1. Risk Factors and Identifiers for Alzheimer’s Disease: A Data Mining Analysis

      • Gürdal Ertek, Bengi Tokdil, Ä°brahim Günaydın
      Pages 1-11

  3. Text Mining in Printed Text and Web Pages

    1. Unsupervised Named Entity Recognition and Disambiguation: An Application to Old French Journals

      • Yusra Mosallam, Alaa Abi-Haidar, Jean-Gabriel Ganascia
      Pages 12-23

    2. Multiple Template Detection Based on Segments

      • Bo Gao, Qifeng Fan
      Pages 24-38

    3. Analysis and Evaluation of Web Pages Classification Techniques for Inappropriate Content Blocking

      • Igor Kotenko, Andrey Chechulin, Andrey Shorov, Dmitry Komashinsky
      Pages 39-54

    4. Extending PubMed Related Article (PMRA) for Multiple Citations

      • Sachintha Pitigala, Cen Li
      Pages 55-69

  4. Data Mining in the Energy Sector

    1. Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the Same Time Each Day?

      • Ian Dent, Tony Craig, Uwe Aickelin, Tom Rodden
      Pages 70-84

  5. Data Mining in Marketing

    1. Hybrid Recommender System for Prediction of the Yelp Users Preferences

      • Vladimir Nikulin
      Pages 85-99

    2. Analysis Using Popularity Awareness Index, Recency Index and Purchase Diversity in Group Buying

      • Yasuyuki Shirai, Hiroyuki Morita, Masakazu Nakamoto, Satoshi Oyama
      Pages 100-114

    3. Choice Modelling and Forecasting Demand for Alternative-Fuel Tractors

      • Ginevra Virginia Lombardi, Rossella Berni
      Pages 115-129

  6. Social Media Mining

    1. Data Mining Cultural Aspects of Social Media Marketing

      • Ronald Hochreiter, Christoph Waldhauser
      Pages 130-143

  7. Data Mining in Industry

    1. A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation

      • Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
      Pages 144-158

  8. Data Mining in Logistics

    1. Visual Trajectory Pattern Mining: An Exploratory Study in Baggage Handling Systems

      • Ayman Al-Serafi, Ahmed Elragal
      Pages 159-173

    2. Analysis of Trajectory Data in Support of Traffic Management: A Data Mining Approach

      • Ahmed Elragal, Hisham Raslan
      Pages 174-188

  9. Data Mining in System Biology

    1. Detecting the Transition Stage of Cells and Cell Parts by Prototype-Based Classification

      • Petra Perner
      Pages 189-199

  10. Theoretical Aspects of Data Mining

    1. Discovering Main Vertexical Planes in a Multivariate Data Space by Using CPL Functions

      • Leon Bobrowski
      Pages 200-213

  11. Aspects of Data Mining

    1. Big Data Analytics: A Literature Review Paper

      • Nada Elgendy, Ahmed Elragal
      Pages 214-227

  12. Back Matter

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  1. Advances in Data Mining: Applications and Theoretical Aspects

Editors and affiliations

  • Institute of Computer Vision and Applied Computer Sciences, IBaI, Leipzig, Germany

    Petra Perner

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