Foundations of Intelligent Systems

1. Front Matter

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2. Complex Networks and Data Stream Mining

   1. Community Detection by an Efficient Ant Colony Approach

      • Lúcio Pereira de Andrade, Rogério Pinto Espíndola, Nelson Francisco Favilla Ebecken

      Pages 1-9

   2. Adaptive XML Stream Classification Using Partial Tree-Edit Distance

      • Dariusz Brzezinski, Maciej Piernik

      Pages 10-19

   3. RILL: Algorithm for Learning Rules from Streaming Data with Concept Drift

      • Magdalena Deckert, Jerzy Stefanowski

      Pages 20-29

   4. Community Detection for Multiplex Social Networks Based on Relational Bayesian Networks

      • Jiuchuan Jiang, Manfred Jaeger

      Pages 30-39

   5. Mining Dense Regions from Vehicular Mobility in Streaming Setting

      • Corrado Loglisci, Donato Malerba

      Pages 40-49

   6. Mining Temporal Evolution of Entities in a Stream of Textual Documents

      • Gianvito Pio, Pasqua Fabiana Lanotte, Michelangelo Ceci, Donato Malerba

      Pages 50-60

   7. An Efficient Method for Community Detection Based on Formal Concept Analysis

      • Selmane Sid Ali, Fadila Bentayeb, Rokia Missaoui, Omar Boussaid

      Pages 61-72

3. Data Mining Methods

   1. On Interpreting Three-Way Decisions through Two-Way Decisions

      • Xiaofei Deng, Yiyu Yao, JingTao Yao

      Pages 73-82

   2. FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning

      • Philippe Fournier-Viger, Cheng-Wei Wu, Souleymane Zida, Vincent S. Tseng

      Pages 83-92

   3. Automatic Subclasses Estimation for a Better Classification with HNNP

      • Ruth Janning, Carlotta Schatten, Lars Schmidt-Thieme

      Pages 93-102

   4. A Large-Scale, Hybrid Approach for Recommending Pages Based on Previous User Click Pattern and Content

      • Mohammad Amir Sharif, Vijay V. Raghavan

      Pages 103-112

   5. EverMiner Prototype Using LISp-Miner Control Language

      • Milan Šimůnek, Jan Rauch

      Pages 113-122

   6. Local Characteristics of Minority Examples in Pre-processing of Imbalanced Data

      • Jerzy Stefanowski, Krystyna Napierała, Małgorzata Trzcielińska

      Pages 123-132

   7. Visual-Based Detection of Properties of Confirmation Measures

      • Robert Susmaga, Izabela Szczęch

      Pages 133-143

4. Intelligent Systems Applications

   1. A Recursive Algorithm for Building Renovation in Smart Cities

      • Andrés Felipe Barco, Elise Vareilles, Michel Aldanondo, Paul Gaborit

      Pages 144-153

   2. Spike Sorting Based upon PCA over DWT Frequency Band Selection

      • Konrad Ciecierski, Zbigniew W. Raś, Andrzej W. Przybyszewski

      Pages 154-163

   3. Neural Network Implementation of a Mesoscale Meteorological Model

      • Robert Firth, Jianhua Chen

      Pages 164-173

   4. Spectral Machine Learning for Predicting Power Wheelchair Exercise Compliance

      • Robert Fisher, Reid Simmons, Cheng-Shiu Chung, Rory Cooper, Garrett Grindle, Annmarie Kelleher et al.

      Pages 174-183

   5. Mood Tracking of Radio Station Broadcasts

      • Jacek Grekow

      Pages 184-193

This book constitutes the refereed proceedings of the 21st International Symposium on Methodologies for Intelligent Systems, ISMIS 2014, held in Roskilde, Denmark, in June 2014. The 61 revised full papers were carefully reviewed and selected from 111 submissions. The papers are organized in topical sections on complex networks and data stream mining; data mining methods; intelligent systems applications; knowledge representation in databases and systems; textual data analysis and mining; special session: challenges in text mining and semantic information retrieval; special session: warehousing and OLAPing complex, spatial and spatio-temporal data; ISMIS posters.

• clustering
• data mining
• description logics
• recommender systems
• spatial-temporal systems

• Research Group PLIS: Programming, Logic and Intelligent Systems Dept. of Communication, Business and Information Technologies, Roskilde University, Denmark

  Troels Andreasen, Henning Christiansen

• Department of Computer Science and Artificial Intelligence, CITIC, University of Granada, Granada, Spain

  Juan-Carlos Cubero

• University of North Carolina, , , 9201 University City Blvd, Charlotte, NC 28223 USA, and Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland

  Zbigniew W. Raś

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