Automatic data processing in California government
In: http://hdl.handle.net/2027/uiug.30112069731336
"For the Joint Legislative Budget Committee Pursuant to SCR 34 1966 First Extraordinary Session." ; "January 30, 1967." ; Mode of access: Internet.
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In: http://hdl.handle.net/2027/uiug.30112069731336
"For the Joint Legislative Budget Committee Pursuant to SCR 34 1966 First Extraordinary Session." ; "January 30, 1967." ; Mode of access: Internet.
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In: Prentice-Hall series in automatic computation
In: Politics & policy, Band 2, Heft 2, S. 121-123
ISSN: 1747-1346
In: International review of administrative sciences: an international journal of comparative public administration, Band 48, Heft 2, S. 258-262
ISSN: 1461-7226
In: Prentice-Hall series in data processing management.
In: Wadsworth accounting and data-processing series
In: Its Conference Board reports. Studies in business policy no. 92
In: Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI
This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.
In: The M. & E. handbook series
In: Research Papers, 6
World Affairs Online