Mining Intelligence and Knowledge Exploration : Second International Conference, MIKE 2014, Cork, Ireland, December 10-12, 2014. Proceedings / edited by Rajendra Prasath, Philip O'Reilly, T. Kathirvalavakumar.

Format:

Book

Contributor:

Prasath, Rajendra, editor.

O'Reilly, Philip (Researcher on Information Systems), editor.

Kathirvalavakumar, T., editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 8891.

Lecture Notes in Artificial Intelligence ; 8891

Language:

English

Subjects (All):

Artificial intelligence.

Data mining.

Information storage and retrieval.

Application software.

Optical data processing.

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Computer Imaging, Vision, Pattern Recognition and Graphics.

Local Subjects:

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Computer Imaging, Vision, Pattern Recognition and Graphics.

Physical Description:

1 online resource (XIV, 426 pages) : 117 illustrations.

Edition:

First edition 2014.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2014.

System Details:

text file PDF

Summary:

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.

Contents:

An Effective Term-ranking Function for Query Expansion Based on Information Foraging Assessment

Using Multi-armed Bandit to Solve Cold-start Problems in Recommender Systems at Telco

An Improved Collaborative Filtering Model Based on Rough Set

Learning to Rank for Personalized Fashion Recommender Systems via Implicit Feedback

Convergence Problem in GMM related Robot Learning from Demonstration: Hybridization of Ensemble Kalman Filter and Non-linear Auto-regressive Neural Network for Financial Forecasting

Forecast of Traffic Accidents Based on Components Extraction and a Neural Network with Levenberg-Marquardt

Top-k Parametrized Boost

Unsupervised Feature Learning for Human Activity Recognition Using Smartphone Sensors

Influence of Weak Labels for Emotion Recognition of Tweets

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

Other Format:

Printed edition:

ISBN:

978-3-319-13817-6

9783319138176

Access Restriction:

Restricted for use by site license.