| Description |
1 online resource (xxv, 711 pages) : illustrations |
| Series |
IFIP advances in information and communication technology, 1868-4238 ; 475 |
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IFIP advances in information and communication technology ; 475. 1868-4238
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| Contents |
Intro; Preface; Organization; Invited Talks; Discriminative Dimensionality Reduction for Data Inspection and Classifier Visualization; Multimodality in Data Clustering: Application to Video Summarization; Machine Learning of Motor Skills for Robots: From Simple Skills to Table Tennis and Manipulation; Machine Learning Based Bioinformatics as a Tool for Big-Bata Analytics on Molecular Biology Datasets; Contents; Medical Artificial Intelligence Modeling (MAIM); A Cumulative Training Approach to Schistosomiasis Vector Density Prediction; 1 Introduction; 2 Experiment Data; 3 Methods |
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3.1 Feature Assessment3.2 Information Gain; 4 Cumulative Training Approach (CTA); 5 Conclusion; References; A Mobile and Evolving Tool to Predict Colorectal Cancer Survivability; 1 Introduction; 2 Related Work; 3 CRCPredictor: An Application for Survivability Prediction; 3.1 Requirements for the Survivability Prediction Tool; 3.2 Colon and Rectal Cancer Survivability Prediction Models; 3.3 Architecture; 3.4 Use Case; 4 Analysis and Discussion; 5 Conclusions and Future Work; References; An Implementation of a Decision-Making Algorithm Based on a Novel Health Status Transition Model of Epilepsy |
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1 Introduction2 Transition Model of Epilepsy; 3 The Implementation of the Model's Decision-Making Algorithm; 3.1 The Applied Implementation Method; 3.2 Ontology Engineering for Epilepsy; 3.3 Implementation of the Decision-Making Algorithm; 3.4 Input Data to the Decision-Making Algorithm; 4 Evaluation of the Proposed Model; 4.1 Kate's Epileptic Medical History and Profile; 4.2 Kate's Telemonitoring Through the Proposed Algorithm; 4.3 Discussion; 5 Conclusions; References |
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Integrative Bioinformatic Analysis of a Greek Epidemiological Cohort Provides Insight into the Pathogenesis of Primary Cutaneous MelanomaAbstract; 1 Introduction; 2 Materials and Methods; 2.1 Analysis of Next Generation Exome Sequencing Data; 2.2 Analysis of Transcriptomic Data; 3 Results and Discussion; 3.1 Mutational Data Derived from Exome Sequencing; 3.2 Transcriptomic Data; 3.3 Data Integration; 4 Conclusions and Future Work; Acknowledgements; References; Machine Learning Preprocessing Method for Suicide Prediction; Abstract; 1 Introduction; 2 Suicide -- Suicidal Ideation |
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3 What is Depression?4 Data Collection; 5 Description of Machine Learning Methods; 5.1 Data Pre-processing Methods; 5.1.1 Feature Selection; 5.2 Short Description of Suggested Data Pre-processing Method; 6 Experimental Results; 7 Conclusions; References; Classification -- Pattern Recognition (CLASPR); Using Frequent Fixed or Variable-Length POS Ngrams or Skip-Grams for Blog Authorship Attribution; 1 Introduction; 2 Related Work; 3 The Proposed Approach; 4 Experimental Evaluation; 4.1 Influence of Parameters n, x, k, and maxgap on Overall Results |
| Summary |
This book constitutes the refereed proceedings of the 12th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2016, and three parallel workshops, held in Thessaloniki, Greece, in September 2016. The workshops are the Third Workshop on New Methods and Tools for Big Data, MT4BD 2016, the 5th Mining Humanistic Data Workshop, MHDW 2016, and the First Workshop on 5G - Putting Intelligence to the Network Edge, 5G-PINE 2016. The 30 revised full papers and 8 short papers presented at the main conference were carefully reviewed and selected from 65 submissions. The 17 revised full papers and 7 short papers presented at the 3 parallel workshops were selected from 33 submissions. The papers cover a broad range of topics such as artificial neural networks, classification, clustering, control systems - robotics, data mining, engineering application of AI, environmental applications of AI, feature reduction, filtering, financial-economics modeling, fuzzy logic, genetic algorithms, hybrid systems, image and video processing, medical AI applications, multi-agent systems, ontology, optimization, pattern recognition, support vector machines, text mining, and Web-social media data AI modeling |
| Notes |
International conference proceedings |
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Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed September 7, 2016) |
| Subject |
Artificial intelligence -- Congresses
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Data mining.
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Pattern recognition.
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Information technology: general issues.
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Algorithms & data structures.
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Network hardware.
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Artificial intelligence.
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Computers -- Database Management -- Data Mining.
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Computers -- Computer Vision & Pattern Recognition.
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Computers -- Data Processing.
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Computers -- Programming -- Algorithms.
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Computers -- Hardware -- Network Hardware.
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Computers -- Intelligence (AI) & Semantics.
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Artificial intelligence
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Iliadis, Lazaros S., editor.
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Maglogiannis, Ilias G., editor.
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| ISBN |
9783319449449 |
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3319449443 |
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