Inicio > > Ciencias de la computación > Inteligencia artificial > Communications and Discoveries from Multidisciplinary Data
Communications and Discoveries from Multidisciplinary Data

Communications and Discoveries from Multidisciplinary Data

 

244,26 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2010
Materia
Inteligencia artificial
ISBN:
9783642097515
244,26 €
IVA incluido
Disponible

Selecciona una librería:

  • Librería Samer Atenea
  • Librería Aciertas (Toledo)
  • Kálamo Books
  • Librería Perelló (Valencia)
  • Librería Elías (Asturias)
  • Donde los libros
  • Librería Kolima (Madrid)
  • Librería Proteo (Málaga)

Part I Thought, Communication, and Actions.- Sharing Representations and Creating Chances through Cognitive Niche Construction. The Role of Affordances and Abduction.- Discovering and Communicating through Multimodal Abduction.- Part II Creative Community working on Multidisciplinary Data.- Augmented Analytical Exploitation of a Scientific Forum.- Multi-Data Mining for Understanding Leadership Behavior.- Discussion Visualization on a Bulletin Board System.- Design of BBS with Visual Representation for Online Data Analysis.- A Study on Web Clustering with respect to XiangShan Science Conference.- Part III Discoveries from Data and Application to Business.- A Multilevel Integration Approach for E-Finance Portal Development.- Integrated Design Framework for Embedded GUI System.- A Unified Probabilistic Inference Model for Targeted Marketing.- Computational methods for discoveries from integrated data.- Human-Interactive Annealing Process with Pictogram for Extracting New Scenarios for Patent Technology.- Drug Design Using a Multi-input Multi-output Neuro-Fuzzy System.- A Framework of Knowledge Management Platform for Middle and Small Business.- Part IV Mining Risks from Multidisciplinary Data.- Discovery of Clusters from Proximity Data: An Approach Using Iterative Adjustment of Binary Classifications.- Evaluating Learning Algorithms to Support Human Rule Evaluation with Predicting Interestingness Based on Objective Rule Evaluation Indices.- Risk Mining for Infection Control.- Evaluating the Error Risk of Email Filters Based on ROC Curve Analysis.- Categorized and Integrated Data Mining of Medical Data.- Privacy-preserving Data Mining for Medical Data: Application of Data Partition Methods.

Artículos relacionados

  • Artificial Cognition Systems
    ...
  • Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition
    Vijay Kumar Mago
    The need for intelligent machines in areas such as medical diagnostics, biometric security systems, and image processing motivates researchers to develop and explore new techniques, algorithms, and applications in this evolving field. Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies provides a common platform for researc...
  • Emerging Applications of Natural Language Processing
    Over the last few years, the area of Natural Language Processing has drastically grown in recognition, not only within the research and development community, but also with industry professionals. As NLP continues to be discussed and researched, certain areas continue to grow and mature. As a result, the need for advanced research and information is in high demand. Emerging App...
  • Androids, Cyborgs, and Robots in Contemporary Culture and Society
    Steven John Thompson
    Mankind’s dependence on artificial intelligence and robotics is increasing rapidly as technology becomes more advanced. Finding a way to seamlessly intertwine these two worlds will help boost productivity in society and aid in a variety of ways in modern civilization. Androids, Cyborgs, and Robots in Contemporary Culture and Society is an essential scholarly resource that delve...
  • Deep Learning Innovations and Their Convergence With Big Data
    The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving business problems has emerged through the use of machine learning techniques in conjunction with big data analytics. Deep Learning Innovations and Their Convergence With Big Data is a pivotal reference for the latest sc...
  • Computational Psychoanalysis and Formal Bi-Logic Frameworks
    Giuseppe Iurato
    Computational psychoanalysis is a new field stemming from Freudian psychoanalysis. The new area aims to understand the primary formal structures and running mechanisms of the unconscious while implementing them into computer sciences. Computational Psychoanalysis and Formal Bi-Logic Frameworks provides emerging information on this new field which uses psychoanalysis and the unc...