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Mining Intelligence and Knowledge Exploration -

Mining Intelligence and Knowledge Exploration

Second International Conference, MIKE 2014, Cork, Ireland, December 10-12, 2014. Proceedings
Buch | Softcover
XIV, 426 Seiten
2014
Springer International Publishing (Verlag)
978-3-319-13816-9 (ISBN)
CHF 95,85 inkl. MwSt
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.

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 & English Language Instruction: A New Text Complexity Algorithm for Automatic Text Classification.

Erscheint lt. Verlag 20.11.2014
Reihe/Serie Lecture Notes in Artificial Intelligence
Lecture Notes in Computer Science
Zusatzinfo XIV, 426 p. 117 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 661 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Case-Based Reasoning • Computational Intelligence • Crowdsourcing • Data Mining • Information Retrieval • Knowledge Discovery • Learning Algorithms • Natural Language Processing • Neural networks • pattern recognition • Qualitative Reasoning • Recommender Systems • Rough Sets • semantic search • XML
ISBN-10 3-319-13816-2 / 3319138162
ISBN-13 978-3-319-13816-9 / 9783319138169
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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