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Author: Joao Gama Publisher: CRC Press ISBN: 1439826129 Category : Business & Economics Languages : en Pages : 256
Book Description
Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents
Author: Joao Gama Publisher: CRC Press ISBN: 1439826129 Category : Business & Economics Languages : en Pages : 256
Book Description
Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents
Author: Charu C. Aggarwal Publisher: Springer Science & Business Media ISBN: 0387475346 Category : Computers Languages : en Pages : 365
Book Description
This book primarily discusses issues related to the mining aspects of data streams and it is unique in its primary focus on the subject. This volume covers mining aspects of data streams comprehensively: each contributed chapter contains a survey on the topic, the key ideas in the field for that particular topic, and future research directions. The book is intended for a professional audience composed of researchers and practitioners in industry. This book is also appropriate for advanced-level students in computer science.
Author: Singh, Aarti Publisher: IGI Global ISBN: 1522524843 Category : Computers Languages : en Pages : 290
Book Description
Modern society exists in a digital era in which high volumes of multimedia information exists. To optimize the management of this data, new methods are emerging for more efficient information retrieval. Web Semantics for Textual and Visual Information Retrieval is a pivotal reference source for the latest academic research on embedding and associating semantics with multimedia information to improve data retrieval techniques. Highlighting a range of pertinent topics such as automation, knowledge discovery, and social networking, this book is ideally designed for researchers, practitioners, students, and professionals interested in emerging trends in information retrieval.
Author: S. Muthukrishnan Publisher: Now Publishers Inc ISBN: 193301914X Category : Computers Languages : en Pages : 136
Book Description
In the data stream scenario, input arrives very rapidly and there is limited memory to store the input. Algorithms have to work with one or few passes over the data, space less than linear in the input size or time significantly less than the input size. In the past few years, a new theory has emerged for reasoning about algorithms that work within these constraints on space, time, and number of passes. Some of the methods rely on metric embeddings, pseudo-random computations, sparse approximation theory and communication complexity. The applications for this scenario include IP network traffic analysis, mining text message streams and processing massive data sets in general. Researchers in Theoretical Computer Science, Databases, IP Networking and Computer Systems are working on the data stream challenges.
Author: Bansal, Himani Publisher: IGI Global ISBN: 1522550984 Category : Business & Economics Languages : en Pages : 321
Book Description
Social technology is quickly becoming a vital tool in our personal, educational, and professional lives. Its use must be further examined in order to determine the role of social media technology in organizational settings to promote business development and growth. Social Network Analytics for Contemporary Business Organizations is a critical scholarly resource that analyzes the application of social media in business applications. Featuring coverage on a broad range of topics, such as business management, dynamic networks, and online interaction, this book is geared towards professionals, researchers, academics, students, managers, and practitioners actively involved in the business industry.
Author: Bernahrd Pfahringer Publisher: Springer ISBN: 3642161847 Category : Computers Languages : en Pages : 384
Book Description
Annotation. This book constitutes the refereed proceedings of the 13th International Conference on Discovery Science, DS 2010, held in Canberra, Australia, in October 2010. The 25 revised full papers presented were carefully selected from 43 submissions and include the first part of the book. In a second part invited talks of ALT 2010 and DS 2010 are presented. The scope of the conference is the exchange of new ideas and information among researchers working in the area of automatic scientific discovery or working on tools for supporting the human process of discovery in science.
Author: João Gama Publisher: Springer Science & Business Media ISBN: 3540736786 Category : Computers Languages : en Pages : 486
Book Description
Processing data streams has raised new research challenges over the last few years. This book provides the reader with a comprehensive overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. Applications in security, the natural sciences, and education are presented. The huge bibliography offers an excellent starting point for further reading and future research.
Author: Honghua Dai Publisher: Springer Science & Business Media ISBN: 354022064X Category : Business & Economics Languages : en Pages : 731
Book Description
This book constitutes the refereed proceedings of the 8th Pacific-Asia Conference on Knowledge Discovery and Data mining, PAKDD 2004, held in Sydney, Australia in May 2004. The 50 revised full papers and 31 revised short papers presented were carefully reviewed and selected from a total of 238 submissions. The papers are organized in topical sections on classification; clustering; association rules; novel algorithms; event mining, anomaly detection, and intrusion detection; ensemble learning; Bayesian network and graph mining; text mining; multimedia mining; text mining and Web mining; statistical methods, sequential data mining, and time series mining; and biomedical data mining.
Author: Dileep Kumar G. Publisher: Business Science Reference ISBN: 9781522535348 Category : Business & Economics Languages : en Pages : 0
Book Description
"This book provides the information on the machine learning techniques that can be in business problems in efficient way. It encourages the data Scientists to take a proactive attitude toward applying machine learning techniques in business. It increases evolutionary computation awareness in Machine Learning by providing a clear direction for applying machine learning techniques in Business Industry"--
Author: Joao Gama
Author: Joao Gama
Author: Charu C. Aggarwal
Author: Singh, Aarti
Author: S. Muthukrishnan
Author: Bansal, Himani
Author: Bernahrd Pfahringer
Author: João Gama
Author: Honghua Dai
Author: Dileep Kumar G.
Author: Mohammed J. Zaki