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EBOOK
Author Turenne, Nicolas.
Title Knowledge needs and information extraction (Online)
Knowledge needs and information extraction : towards an artificial consciousness / Nicolas Turenne.
Imprint London : ISTE ; Hoboken, N.J. : Wiley, 2013.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SAFARI EBOOKS    ONLINE  
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 OHIOLINK WILEY EBOOKS    ONLINE  
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Author Turenne, Nicolas.
Series Computer engineering and IT series
Computer engineering and IT series.
Subject Consciousness.
Conscious automata.
LOCATION CALL # STATUS MESSAGE
 OHIOLINK SAFARI EBOOKS    ONLINE  
View online
 OHIOLINK WILEY EBOOKS    ONLINE  
View online
Author Turenne, Nicolas.
Series Computer engineering and IT series
Computer engineering and IT series.
Subject Consciousness.
Conscious automata.
Description 1 online resource (xii, 269 pages) : illustrations
Bibliography Note Includes bibliographical references (pages 225-265) and index.
Contents Machine generated contents note: 1.1. Multidisciplinarity of the subject -- 1.2. Terminological outlook -- 1.3. Theological point of view -- 1.4. Notion of belief and autonomy -- 1.5. Scientific schools of thought -- 1.6. question of experience -- 2.1. In news blogs -- 2.2. Marketing -- 2.3. Appearance -- 2.4. Mystical experiences -- 2.5. Infantheism -- 2.6. Addiction -- 3.1. Hierarchy of needs -- 3.1.1. Level-1 needs -- 3.1.2. Level-3 needs -- 3.2. satiation cycle -- 4.1. entrepreneurial model -- 4.2. Motivational and ethical states -- 6.1. Behavior and cognition -- 6.2. Theory of self-efficacy -- 6.3. Theory of self-determination -- 6.4. Theory of control -- 6.5. Attribution theory -- 6.6. Standards and self-regulation -- 6.7. Deviance and pathology -- 6.8. Temporal Motivation Theory -- 6.9. Effect of objectives -- 6.10. Context of distance learning -- 6.11. Maintenance model -- 6.12. Effect of narrative -- 6.13. Effect of eviction -- 6.14. Effect of the teacher-student relationship -- 6.15. Model of persistence and change -- 6.16. Effect of the man-machine relationship -- 7.1. Academic literature on the subject -- 7.2. Psychology and Neurosciences -- 7.3. Neurophysiological theory -- 7.4. Relationship between the motivational system and the emotions -- 7.5. Relationship between the motivational system and language -- 7.6. Relationship between the motivational system and need -- 8.1. Issues surrounding language -- 8.2. Interaction and language -- 8.3. Development and language -- 8.4. Schools of thought in linguistic sciences -- 8.5. Semantics and combination -- 8.6. Functional grammar -- 8.7. Meaning-Text Theory -- 8.8. Generative lexicon -- 8.9. Theory of synergetic linguistics -- 8.10. Integrative approach to language processing -- 8.11. New spaces for date production -- 8.12. Notion of ontology -- 8.13. Knowledge representation -- 9.1. Notion of a computational model -- 9.2. Multi-agent systems -- 9.3. Artificial self-organization -- 9.4. Artificial neural networks -- 9.5. Free will theorem -- 9.6. probabilistic utility model -- 9.7. autoepistemic model -- 10.1. Social groups -- 10.2. Innate self-motivation -- 10.3. Mass communication -- 10.4. Cost-Benefit ratio -- 10.5. Social representation -- 10.6. relational environment -- 10.7. Perception -- 10.8. Identity -- 10.9. Social environment -- 10.10. Historical antecedence -- 10.11. Ethics -- 11.1. new model -- 11.2. Architecture of a self-motivation subsystem -- 11.3. Level of certainty -- 11.4. Need for self-motivation -- 11.5. Notion of motive -- 11.6. Age and location -- 11.7. Uniqueness -- 11.8. Effect of spontaneity -- 11.9. Effect of dependence -- 11.10. Effect of emulation -- 11.11. Transition of belief -- 11.12. Effect of individualism -- 11.13. Modeling of the groups of beliefs -- 12.1. Platform for production and consultation of texts -- 12.2. Informational measure of the motives of self-motivation -- 12.2.1. Intra-phrastic extraction -- 12.2.2. Inter-phrastic extraction -- 12.2.3. Meta-phrastic extraction -- 12.3. information market -- 12.4. Types of data -- 12.5. outlines of text mining -- 12.6. Software economy -- 12.7. Standards and metadata -- 12.8. Open-ended questions and challenges for text-mining methods -- 12.9. Notion of lexical noise -- 12.10. Web mining -- 12.11. Mining approach -- 13.1. Constructivist activity -- 13.2. Typicality associated with the data -- 13.3. Specific character of text mining -- 13.4. Supervised, unsupervised and semi-supervised techniques -- 13.5. Quality of a model -- 13.6. scenario -- 13.7. Representation of a datum -- 13.8. Standardization -- 13.9. Morphological preprocessing -- 13.10. Selection and weighting of terminological units -- 13.11. Statistical properties of textual units: lexical laws -- 13.12. Sub-lexical units -- 13.14. Shallow parsing or superficial syntactic analysis -- 13.15. Argumentation models -- 14.1. Mixed and interdisciplinary text mining techniques -- 14.1.1. Supervised, unsupervised and semi-supervised techniques -- 14.2. Techniques for extraction of named entities -- 14.3. Inverse methods -- 14.4. Latent Semantic Analysis -- 14.5. Iterative construction of sub-corpora -- 14.6. Ordering approaches or ranking method -- 14.7. Use of ontology -- 14.8. Interdisciplinary techniques -- 14.9. Information visualization techniques -- 14.10. k-means technique -- 14.11. Naive Bayes classifier technique -- 14.12. k-nearest neighbors (KNN) technique -- 14.13. Hierarchical clustering technique -- 14.14. Density-based clustering techniques -- 14.15. Conditional fields -- 14.16. Nonlinear regression and artificial neural networks -- 14.17. Models of multi-agent systems (MASs) -- 14.18. Co-clustering models -- 14.19. Dependency models -- 14.20. Decision tree technique -- 14.21. Support Vector Machine (SVM) technique -- 14.22. Set of frequent items -- 14.23. Genetic algorithms -- 14.24. Link analysis with a theoretical graph model -- 14.25. Link analysis without a graph model -- 14.26. Quality of a model -- 14.27. Model selection -- 15.1. avenues in text mining -- 15.1.1. Organization -- 15.1.2. Discovery -- 15.2. About decision support -- 15.3. Competitive intelligence (vigilance) -- 15.4. About strategy -- 15.5. About archive management -- 15.6. About sociology and the legal field -- 15.7. About biology -- 15.8. About other domains.
ISBN 1118574567
9781118574560
9781118574591
1118574591
9781848215153 (hbk.)
1848215150 (hbk.)
OCLC # 1065712698
Additional Format Print version: 9781848215153 1848215150



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