Transportation Forecasting

Transportation Forecasting
Author: National Research Council (U.S.). Transportation Research Board
Publisher:
Total Pages: 164
Release: 1983
Genre: Business & Economics
ISBN:


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Web Mining Applications in E-Commerce and E-Services

Web Mining Applications in E-Commerce and E-Services
Author: I-Hsien Ting
Publisher: Springer Science & Business Media
Total Pages: 181
Release: 2009-01-24
Genre: Mathematics
ISBN: 3540880801


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Web mining has become a popular area of research, integrating the different research areas of data mining and the World Wide Web. According to the taxonomy of Web mining, there are three sub-fields of Web-mining research: Web usage mining, Web content mining and Web structure mining. These three research fields cover most content and activities on the Web. With the rapid growth of the World Wide Web, Web mining has become a hot topic and is now part of the mainstream of Web - search, such as Web information systems and Web intelligence. Among all of the possible applications in Web research, e-commerce and e-services have been iden- fied as important domains for Web-mining techniques. Web-mining techniques also play an important role in e-commerce and e-services, proving to be useful tools for understanding how e-commerce and e-service Web sites and services are used, e- bling the provision of better services for customers and users. Thus, this book will focus upon Web-mining applications in e-commerce and e-services. Some chapters in this book are extended from the papers that presented in WMEE 2008 (the 2nd International Workshop for E-commerce and E-services). In addition, we also sent invitations to researchers that are famous in this research area to contr- ute for this book. The chapters of this book are introduced as follows: In chapter 1, Peter I.

Modern Sensors, Transducers and Sensor Networks

Modern Sensors, Transducers and Sensor Networks
Author: Sergey Yurish
Publisher: Lulu.com
Total Pages: 423
Release: 2012
Genre: Technology & Engineering
ISBN: 8461596137


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"Modern Sensors, Transducers and Sensor Networks is the first book from the Advances in Sensors: Reviews book Series contains dozen collected sensor related, advanced state-of-the-art reviews written by 31 internationaly recognized experts from academia and industry. Built upon the series Advances in Sensors: Reviews - a premier sensor review source, it presents an overview of highlights in the field. Coverage includes current developments in sensing nanomaterials, technologies, MEMS sensor design, synthesis, modeling and applications of sensors, transducers and wireless sensor networks, signal detection and advanced signal processing, as well as new sensing principles and methods of measurements. This volume is divided into three main sections: physical sensors, chemical sensors and biosensors, and sensor networks including sensor technology, sensor market reviews and applications." -- Back cover.

Collaborative Computing: Networking, Applications and Worksharing

Collaborative Computing: Networking, Applications and Worksharing
Author: Honghao Gao
Publisher: Springer Nature
Total Pages: 481
Release: 2022-01-01
Genre: Computers
ISBN: 3030926389


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This two-volume set constitutes the refereed proceedings of the 17th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 62 full papers and 7 short papers presented were carefully reviewed and selected from 206 submissions. The papers reflect the conference sessions as follows: Optimization for Collaborate System; Optimization based on Collaborative Computing; UVA and Traffic system; Recommendation System; Recommendation System & Network and Security; Network and Security; Network and Security & IoT and Social Networks; IoT and Social Networks & Images handling and human recognition; Images handling and human recognition & Edge Computing; Edge Computing; Edge Computing & Collaborative working; Collaborative working & Deep Learning and application; Deep Learning and application; Deep Learning and application; Deep Learning and application & UVA.