Tag: Data

Free Download Rons Data Edit Pro 2024.9.9.1120 Portable Fast Links | 17.4 Mb
Professional CSV file editor for Windows. A modern tabular text editor that combines elegance, power and ease of use. Rons Data Edit is a powerful new Modern CSV file editor for Windows. It can open any format of separated text (CSV, TSV etc.), and allows total control over their content and structure. Built from ground up to present both application control and data clearly, it provides the ideal data editing environment.

Free Download Jie Shao, Man Lung Yiu, Masashi Toyoda, "Web and Big Data: Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1-3, 2019, Proceedings, Part I"
English | 2019 | pages: 445 | ISBN: 3030260712 | PDF | 24,2 mb
This two-volume set, LNCS 11641 and 11642, constitutes the thoroughly refereed proceedings of the Third International Joint Conference, APWeb-WAIM 2019, held in Chengdu, China, in August 2019.

Free Download Using SPSS for Windows: Data Analysis and Graphics By Susan B. Gerber, Kristin Voelkl Finn
2000 | 228 Pages | ISBN: 0387985638 | PDF | 7 MB
This book is a self-teaching guide to the SPSS for Windows computer package. It is designed to be used with SPSS version 8.0 and beyond, although many of the procedures are also applicable to earlier versions of SPSS. This guide is extremely easy to follow since all procedures are outlined in a straightforward, step-by-step format. Because of its self-instructional nature, the beginning student can learn to analyze statistical data with SPSS without outside assistance. The reader is "walked through" numerous examples that illustrate how to use the SPSS package. The results produced by SPSS are shown and discussed in each application. Each chapter demonstrates statistical procedures and provides excuses that reinforce the text examples and can be performed for further practice.

Free Download National Research Council, Policy and Global Affairs, "Using Human Resource Data to Track Innovation: Summary of a Workshop"
English | 2002 | pages: 81 | ISBN: 0309084245 | PDF | 2,8 mb
Despite the fact that technology is embodied in human as well as physical capital and that interactions among technically trained people are critical to innovation and technology diffusion, data on scientists, engineers and other professionals have not been adequately exploited to illuminate the productivity of and changing patterns in innovation. STEP convened a workshop to examine how data on qualifications and career paths, mobility, cross sector relationships, and the structure of work in firms could shed light on issues of research productivity, interactions among private and public sector institutions, and other aspects of innovation.

Free Download The Data WarehouseETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data By Ralph Kimball, Joe Caserta
2004 | 528 Pages | ISBN: 0764567578 | PDF | 6 MB
Cowritten by Ralph Kimball, the world’s leading data warehousing authority, whose previous books have sold more than 150,000 copiesDelivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) processDelineates best practices for extracting data from scattered sources, removing redundant and inaccurate data, transforming the remaining data into correctly formatted data structures, and then loading the end product into the data warehouseOffers proven time-saving ETL techniques, comprehensive guidance on building dimensional structures, and crucial advice on ensuring data quality

Free Download Alex Wellerstein, "Restricted Data: The History of Nuclear Secrecy in the United States"
English | ISBN: 022602038X | 2021 | 528 pages | AZW3 | 4 MB
The first full history of US nuclear secrecy, from its origins in the late 1930s to our post-Cold War present.

Free Download Jingyuan Ma, "Regulating Data Monopolies: A Law and Economics Perspective"
English | ISBN: 981168765X | 2022 | 262 pages | PDF | 6 MB
This book analyzes the business model of enterprises in the digital economy by taking an economic and comparative perspective. The aim of this book is to conduct an in-depth analysis of the anti-competitive behavior of companies who monopolize data, and put forward the necessity of regulating data monopoly by exploring the causes and characteristics of their anti-competitive behavior. It studies four aspects of the differences between data monopoly and traditional monopolistic behavior, namely defining the relevant market for data monopolies, the entry barrier, the problem of determining the dominant position of data monopoly, and the influence on consumer welfare. It points out the limitations of traditional regulatory tools and discusses how new regulatory methods could be developed within the competition legal framework to restrict data monopolies. It proposes how economic analytical tools used in traditional anti-monopoly law are facing challenges and how competition enforcement agencies could adjust regulatory methods to deal with new anti-competitive behavior by data monopolies.

Free Download Oracle 10g/11g Data and Database Management Utilities By Hector R. Madrid
2009 | 432 Pages | ISBN: 1847196284 | PDF | 7 MB
This book is written using a practical approach that guides you through different practical scenarios. It provides a brief introduction to the topics; this way you can quickly get to know the main features, start being productive with the tool, and grow with it at a fast pace. You won’t have to spend too much time getting to the basics of the tool and can immediately progress towards the advanced tips. Using this practical approach you don’t have to spend valuable time trying to decipher arid reference manuals; you can easily set up the practical scenarios, and try to follow up the presentations. The images used in the book come from real scenarios, and the output is always explained so you can easily interpret what is being displayed on the screen after issuing the commands. This book is aimed at all Oracle professionals who interact with the database through the data and database utilities and are willing to optimize their interaction with it. Entry-level users will get acquainted with the best practices to get their job done in a timely and efficient manner. Advanced users will find useful tips and How-Tos that will help them focus on getting the most out of the database utilities and fine-tune batch processing.

Free Download Sudha G Purohit, "Life-time Data: Statistical Models And Methods (Quality, Reliability and Engineering Statistics)"
English | 2006 | pages: 258 | ISBN: 9812566074, 981256697X | PDF | 2,4 mb
This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics, engineering statistics and medical statistics courses. It is helpful for researchers who wish to choose appropriate models and methods for analyzing lifetime data. There is an extensive discussion on the concept and role of ageing in choosing appropriate models for lifetime data, with a special emphasis on tests of exponentiality. There are interesting contributions related to the topics of ageing, tests for exponentiality, competing risks and repairable systems. A special feature of this book is that it introduces the public domain R-software and explains how it can be used in computations of methods discussed in the book.

Free Download Intelligent Data Engineering and Automated Learning – IDEAL 2013: 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings By Li Ying, Li Fan-jun (auth.), Hujun Yin, Ke Tang, Yang Gao, Frank Klawonn, Minho Lee, Thomas Weise, Bin Li, Xin Yao (eds.)
2013 | 639 Pages | ISBN: 3642412777 | PDF | 15 MB
This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2013, held in Hefei, China, in October 2013. The 76 revised full papers presented were carefully reviewed and selected from more than 130 submissions. These papers provided a valuable collection of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, neural networks, probabilistic modelling, swarm intelligent, multi-objective optimisation, and practical applications in regression, classification, clustering, biological data processing, text processing, video analysis, including a number of special sessions on emerging topics such as adaptation and learning multi-agent systems, big data, swarm intelligence and data mining, and combining learning and optimisation in intelligent data engineering.