Behavior Engineering and Applications

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Wong, Raymond (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Chi, Chi-Hung (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Hung, Patrick C. K. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: International Series on Computer Entertainment and Media Technology,
• Θέματα: Big data.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Behavioral sciences.; Application software.; Big Data/Analytics.; Artificial Intelligence.; Mathematical and Computational Engineering.; Behavioral Sciences.; Computer Appl. in Social and Behavioral Sciences.

Many industrial applications built today are increasingly using emerging behavior engineering technologies: this book looks at various research and practical issues for researchers and students working in computer science and engineering, and for industry technology providers interested in behavior...

Πίνακας περιεχομένων:

• 1 Benchmarking Swarm Rebalancing Algorithm for Relieving Imbalanced Machine Learning Problems
• 2 Performance Evaluation of Shadow Features as a Data Preprocessing Method in Data Mining for Human Activities Recognitions
• 3 Fast Plagiarism Detection Using Approximate String Matching and Vector Representation of Words
• 4 A Psychologically-realistic Personality Model for Virtual Agents
• 5 Investigating Path to Purchase for Online Impulse Buying: A Decision Net Approach
• 6 eHealth Consumer Behavior
• 7 Guiding usability newcomers to understand the Context of Use: towards models of Collaborative Heuristic Evaluation
• 8 Forecasting China Future MNP by Deep Learning
• 9 Gender differences in affective response toward pictorials: Affective warning pictorials on cigarette label
• 10 A Web-based System with Spatial Clustering to Observe the Changes of Emergency Distribution using Social Big Data. .