Description |
1 online resource (xiv, 426 pages) : illustrations (some color) |
Series |
Lecture notes in computer science, 0302-9743 ; 7014 |
|
Lecture notes in computer science ; 7014. 0302-9743
|
Contents |
Machine generated contents note: Bisociative Knowledge Discovery -- Computational Sustainability (Abstract) / Michael R. Berthold -- Intelligent Data Analysis: Keeping Pace with Technological Advances (Abstract) / Carla P. Gomes -- Comparative Analysis of Power Consumption in University Buildings Using envSOM / Xiaohui Liu -- Context-Aware Collaborative Data Stream Mining in Ubiquitous Devices / Miguel Angel Prada / Mika Sulkava / Jaakko Hollm̌n / Serafin Alonso / Manuel Dominguez -- Intra-firm Information Flow: A Content-Structure Perspective / Jôo B̀rtolo Gomes / Ernestina Menasalvas / Mohamed Medhat Gaber / Pedro A.C. Sousa -- Mining Fault-Tolerant Item Sets Using Subset Size Occurrence Distributions / Nir N. Brueller / Yakir Berchenko / Or Daliot -- Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing / Tobias Ḵtter / Christian Borgelt -- ̂ |
|
Note continued: Learning about the Learning Process / Jelena Fiosina / Maksims Fiosins -- Predicting Computer Performance Dynamics / Jôo Gama / Petr Kosina -- Prototype-Based Classification of Dissimilarity Data / Elizabeth Bradley / Joshua Garland -- Automatic Layout Design Solution / Xibin Zhu / Bassam Mokbel / Barbara Hammer / Frank-Michael Schleif -- Alternative to ROC and AUC Analysis of Classifiers / Fadratul Hafinaz Hassan / Allan Tucker -- Algorithm APT to Classify in Concurrence of Latency and Drift / Sigrun May / Frank Klawonn / Frank H̲ppner -- Identification of Nuclear Magnetic Resonance Signals via Gaussian Mixture Decomposition / Georg Matthias Krempl -- Graphical Feature Selection for Multilabel Classification Tasks / Thorsten L rs / Frank Klawonn / Martin Krone / Christiane Ritter -- Web 2.0 Strategy for the Collaborative Analysis of Complex Bioimages / Antonio Bahamonde / Oscar Luaces / Jose Ramon Quevedo / Gerardo Lastra -- Data Quality through Model Checking Techniques / Karsten Niehaus / Tim W. Nattkemper / Daniel Langenk̃mper / Jan Ḵlling / Christian Loyek -- Generating Automated News to Explain the Meaning of Sensor Data / Fabio Mercorio / Mirko Cesarini / Roberto Boselli / Mario Mezzanzanica -- Binding Statistical and Machine Learning Models for Short-Term Forecasting of Global Solar Radiation / Amanda Stent / Martin Molina / Enrique Parodi -- Bisociative Discovery of Interesting Relations between Domains / Michel Piliougine / Ildefonso Martinez-Marchena / Llanos Mora-L̤pez / Mariano Sidrach-de-Cardona -- Collaboration-Based Function Prediction in Protein-Protein Interaction Networks / Michael R. Berthold / Tobias Ḵtter / Dawid Piatek / Kilian Thiel / Uwe Nagel -- Mining Sentiments from Songs Using Latent Dirichlet Allocation / Andreas Bender / Hendrik Blockeel / Hossein Rahmani |
|
Note continued: Analyzing Parliamentary Elections Based on Voting Advice Application Data / M. Narasimha Murty / Govind Sharma -- Integrating Marine Species Biomass Data by Modelling Functional Knowledge / Jaakko Talonen / Mika Sulkava -- Stylometric Study and Assessment of Machine Translators / Allan Tucker / Daniel Duplisea -- Traffic Events Modeling for Structural Health Monitoring / V. Suresh / Avanthi Krishnamurthy / C.E. Veni Madhavan / Rama Badrinath -- Supervised Learning in Parallel Universes Using Neighborgrams / Shengfa Miao / Arne Koopman / Bas Obladen / Carlos Bosma / Arno Knobbe / Joaquin Vanschoren / Ugo Vespier -- iNIMPC: A Local Search Approach for Incremental Bayesian Network Structure Learning / Michael R. Berthold / Bernd Wiswedel -- Analyzing Emotional Semantics of Abstract Art Using Low-Level Image Features / Amanullah Yasin / Philippe Leray |
Summary |
This book constitutes the refereed proceedings of the 10th International Conference on Intelligent Data Analysis, IDA 2011, held in Porto, Portugal, in October 2011. The 19 revised full papers and 16 revised poster papers resented together with 3 invited papers were carefully reviewed and selected from 73 submissions. All current aspects of intelligent data analysis are addressed, particularly intelligent support for modeling and analyzing complex, dynamical systems. The papers offer intelligent support for understanding evolving scientific and social systems including data collection and acquisition, such as crowd sourcing; data cleaning, semantics and markup; searching for data and assembling datasets from multiple sources; data processing, including workflows, mixed-initiative data analysis, and planning; data and information fusion; incremental, mixed-initiative model development, testing and revision; and visualization and dissemination of results; etc |
Analysis |
Computer science |
|
Computer software |
|
Database management |
|
Data mining |
|
Information storage and retrieval systems |
|
Artificial intelligence |
|
Information Systems Applications (incl. Internet) |
|
Artificial Intelligence (incl. Robotics) |
|
Information Storage and Retrieval |
|
Algorithm Analysis and Problem Complexity |
|
Data Mining and Knowledge Discovery |
Bibliography |
Includes bibliographical references and index |
Subject |
Mathematical statistics -- Congresses
|
|
Mathematical statistics -- Data processing -- Congresses
|
|
Expert systems (Computer science)
|
|
Expert Systems
|
|
Informatique.
|
|
Expert systems (Computer science)
|
|
Mathematical statistics
|
|
Mathematical statistics -- Data processing
|
Genre/Form |
proceedings (reports)
|
|
Conference papers and proceedings
|
|
Conference papers and proceedings.
|
|
Actes de congrès.
|
Form |
Electronic book
|
Author |
Gama, João.
|
|
Bradley, Elizabeth
|
|
Hollmén, Jaakko.
|
ISBN |
9783642248009 |
|
3642248004 |
|
3642247997 |
|
9783642247996 |
|