Behavior Computing Modeling, Analysis, Mining and Decision /

'Behavior' is an increasingly important concept in the scientific, societal, economic, cultural, political, military, living and virtual worlds. Behavior computing, or behavior informatics, consists of methodologies, techniques and practical tools for examining and interpreting behaviours...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Cao, Longbing (Επιμελητής έκδοσης), Yu, Philip S. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London, 2012.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Preface
  • Part I: Behavior Modeling
  • Analyzing Behavior of the Influentials across Social Media
  • Modeling and Analysis of Social Activity Process
  • Behavior Representation and Management Making Use of the Narrative Knowledge Representation Language
  • Semi-Markovian representation of User Behavior in Software Packages
  • Part II: Behavior Analysis
  • P-SERS: Personalized Social Event Recommender System
  • Simultaneously Modeling Reply Networks and Contents to Generate User’s Profiles on Web Forum
  • Information Searching Behavior Mining Based on Reinforcement Learning Models
  • Estimating Conceptual Similarities using Distributed Representations and Extended Backpropagation
  • Scoring and Predicting Risk Preferences
  • An Introduction to Prognostic Search
  • Part III: Behavior Mining
  • Clustering Clues of Trajectories for Discovering Frequent Movement Behaviors
  • Linking Behavioral Patterns to Personal Attributes through Data Re-Mining
  • Mining Causality from Non-categorical Numerical Data
  • A Fast Algorithm for Mining High Utility Itemsets
  • Individual Movement Behavior in Secure Physical Environments: Modeling and Detection of Suspicious Activity
  • A Behavioral Modeling Approach to Prevent Unauthorized Large-Scale Documents Copying from Digital Libraries
  • Analyzing Twitter User Behaviors and Topic Trends by Exploiting Dynamic Rules
  • Part IV: Behavior Applications
  • Behavior Analysis of Telecom Data using Social Network Analysis
  • Event Detection based on Call Detail Records
  • Smart Phone: Predicting the Next Call
  • A System with Hidden Markov Models and Guassian Mixture Models for 3D Handwriting Recognition on Handheld Devices using Accelerometers
  • Medical Student’s Search Behavior: An Exploratory Survey
  • An Evaluation Scheme of Software Testing Strategy.