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Mining Intelligence and Knowledge Exploration

Second International Conference, MIKE 2014, Cork, Ireland, December 10-12, 2014. Proceedings

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Rajendra Prasath

    1. University College Cork, Cork, Ireland

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  2. Philip O’Reilly

    1. University College Cork, Cork, Ireland

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  3. T. Kathirvalavakumar

    1. V.H.N.Senthikumara Nadar College, Tamil Nadu, India

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8891)

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

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About this book

This book constitutes the proceedings of the Second International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2014, held in Cork, Ireland, in December 2014. The 40 papers presented were carefully reviewed and selected from 69 submissions. The papers cover topics such as information retrieval, feature selection, classification, clustering, image processing, network security, speech processing, machine learning, recommender systems, natural language processing, language, cognition and computation, and business intelligence.

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Table of contents (40 papers)

  1. Front Matter

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  2. An Effective Term-Ranking Function for Query Expansion Based on Information Foraging Assessment

    • Ilyes Khennak, Habiba Drias, Hadia Mosteghanemi
    Pages 1-10

  3. Personalized Search over Medical Forums

    • Arohi Kumar, Amit Kumar Meher, Sudeshna Sarkar
    Pages 11-20

  4. Using Multi-armed Bandit to Solve Cold-Start Problems in Recommender Systems at Telco

    • Hai Thanh Nguyen, Anders Kofod-Petersen
    Pages 21-30

  5. An Improved Collaborative Filtering Model Based on Rough Set

    • Xiaoyun Wang, Lu Qian
    Pages 31-41

  6. Exploring Folksonomy Structure for Personalizing the Result Merging Process in Distributed Information Retrieval

    • Zakaria Saoud, Samir Kechid, Radia Amrouni
    Pages 42-50

  7. Learning to Rank for Personalised Fashion Recommender Systems via Implicit Feedback

    • Hai Thanh Nguyen, Thomas Almenningen, Martin Havig, Herman Schistad, Anders Kofod-Petersen, Helge Langseth et al.
    Pages 51-61

  8. Convergence Problem in GMM Related Robot Learning from Demonstration

    • Fenglu Ge, Wayne Moore, Michael Antolovich
    Pages 62-71

  9. Hybridization of Ensemble Kalman Filter and Non-linear Auto-regressive Neural Network for Financial Forecasting

    • Said Jadid Abdulkadir, Suet-Peng Yong, Maran Marimuthu, Fong-Woon Lai
    Pages 72-81

  10. Forecast of Traffic Accidents Based on Components Extraction and an Autoregressive Neural Network with Levenberg-Marquardt

    • Lida Barba, Nibaldo Rodríguez
    Pages 82-90

  11. Top-k Parametrized Boost

    • Turki Turki, Muhammad Ihsan, Nouf Turki, Jie Zhang, Usman Roshan, Zhi Wei
    Pages 91-98

  12. Unsupervised Feature Learning for Human Activity Recognition Using Smartphone Sensors

    • Yongmou Li, Dianxi Shi, Bo Ding, Dongbo Liu
    Pages 99-107

  13. Influence of Weak Labels for Emotion Recognition of Tweets

    • Olivier Janssens, Steven Verstockt, Erik Mannens, Sofie Van Hoecke, Rik Van de Walle
    Pages 108-118

  14. Focused Information Retrieval & English Language Instruction: A New Text Complexity Algorithm for Automatic Text Classification

    • Trisevgeni Liontou
    Pages 119-134

  15. Efficient Handwritten Numeral Recognition System Using Leaders of Separated Digit and RBF Network

    • Thangairulappan Kathirvalavakumar, M. Karthigai Selvi, R. Palaniappan
    Pages 135-144

  16. Iterative Clustering Method for Metagenomic Sequences

    • Isis Bonet, Widerman Montoya, Andrea Mesa-Múnera, Juan Fernando Alzate
    Pages 145-154

  17. Is There a Crowd? Experiences in Using Density-Based Clustering and Outlier Detection

    • Mohamed Ben Kalifa, Rebeca P. Díaz Redondo, Ana Fernández Vilas, Rafael López Serrano, Sandra Servia Rodríguez
    Pages 155-163

  18. Detecting Background Line as Preprocessing for Offline Signature Verification

    • K. Rakesh, Rajarshi Pal
    Pages 164-171

  19. Application of Zero-Frequency Filtering for Vowel Onset Point Detection

    • Anil Kumar Vuppala
    Pages 172-177

  20. A Hybrid PSO Model for Solving Continuous p-median Problem

    • Silpi Borah, Hrishikesh Dewan
    Pages 178-188
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Editors and Affiliations

  • University College Cork, Cork, Ireland

    Rajendra Prasath, Philip O’Reilly

  • V.H.N.Senthikumara Nadar College, Tamil Nadu, India

    T. Kathirvalavakumar

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