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Sams Teach Yourself Ruby in 21 Days
Ruby is a high-level, fully object-oriented programming (OOP) language. It is very powerful and relatively easy to learn, read, and maintain. Sams Teach Yourself Ruby in 21 Days provides the best introduction to this language and addresses one of the key constraints it faces: "The paucity of quality English-language documentation is one of the few things holding Ruby back from widespread adoption," according to Dr. Curtis Clifton of Iowa State University¿s Department of Graduate Computer Science.
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
This volume contains the papers selected for presentation at the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2003) held at Chongqing University of Posts and Telecommunications, Chongqing, P.R. China, May 26–29, 2003. There were 245 submissions for RSFDGrC 2003 excluding for 2 invited keynote papers and 11 invited plenary papers. Apart from the 13 invited papers, 114 papers were accepted for RSFDGrC 2003 and were included in this volume. The acceptance rate was only 46.5%. These papers were divided into 39 regular oral presentation papers (each allotted 8 pages), 47 short oral presentation papers (each allotted 4 pages) and 28 poster p...
Collaborative Computer Security and Trust Management
"This book combines perspectives of leading researchers in collaborative security to discuss recent advances in this burgeoning new field"--Provided by publisher.
Getting to Know Ruby
The book provides an introduction to the open-source programming language known as Ruby, including the language's history, the basics of operation, and implementation of the system's application framework, Ruby on Rails.
Education Directory
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The Ruby Way
The Ruby Wayassumes that the reader is already familiar with the subject matter. Using many code samples it focuses on "how-to use Ruby" for specific applications, either as a stand-alone language, or in conjunction with other languages.Topics covered include: Simple data tasks; Manipulating structured data; External data manipulation; User interfaces; Handling threads; System programming; Network and web programming; Tools and utilities.Note: The appendices offer instruction on migrating from Perl and Python to Ruby, and extending Ruby in C and C++.
Smart Data
Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning, Big Data capture and representation, AI for Big Data applications, and more. Features Presents state-of-the-art research in big data and smart computing Provides a broad coverage of topics in data science and machine learning Combines computing methods with domain knowledge and a focus on applications in science, engineering, and business Covers data security and privacy, including AI techniques Includes contributions from leading researchers
