?????????This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clev
This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques. Throughout the book, various applications of mult
A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R e
Intelligent data analysis, data mining and knowledge discovery in databases have recently gained the attention of a large number of researchers and practitioners. This is witnessed by the rapidly i
Data Correcting Approaches in Combinatorial Optimization focuses on algorithmic applications of the well known polynomially solvable special cases of computationally intractable problems. The purpose
A step-by-step guide to understanding object-oriented programming with Objective-CAs the primary programming language for iPhone, iPad, and Mac OS X applications, Objective-C is a reflective, object-o
Optical Interconnects in Future Data Center Networks covers optical networks and how they can be used to provide high bandwidth, energy efficient interconnects for future data centers with increased c
Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM). Th
Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis.Soft computing focuses on obtaining working solutions quic
In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from seve
The digital era shows an unprecedented worldwide flow of data within multinational companies and their external service providers. Binding Corporate Rules (BCRs) are designed to allow these companies
You have to make sense of enormous amounts of data, and while the notion of “agile data warehousing? might sound tricky, it can yield as much as a 3-to-1 speed advantage while cutting project costs in
What are your organization’s policies for generating and using huge datasets full of personal information? This book examines ethical questions raised by the big data phenomenon, and explains why ente
Science is increasingly driven by data, and spatial data underpin the science directions laid out in the 2007 U.S. Geological Survey (USGS) Science Strategy. A robust framework of spatial data, metada
Business data integration is a complex problem that must be solved when organizations change or enhance their internal structures. The goal of this book is to present a simple yet thorough resource th
Plain English guidance for strategic business analytics and big data implementationIn today's challenging economy, business analytics and big data have become more and more ubiquitous. While some busi
This inexpensive supplement introduces students to the collection, uses, and interpretation of statistical data in the social sciences. It is a welcome add-on to all social science introductory statis
Cameroon contains tropical Africa’s most species-diverse hotspots for plants. This addition to the Red Data Book of the International Union for the Conservation of Nature and Natural Resources documen
This text is an unbound, binder-ready edition. Over the past few years, many fundamental changes have occurred in data communications and networking that will shape the future for decades to come. Upd
Information is a key factor in business today, and data warehousing has become a major activity in the development and management of information systems to support the proper flow of information. Unfo
Analysis and Interpretation of Ethnographic Data: A Mixed Methods Approach,Second Edition, is a comprehensive treatment of analysis strategies used inethnographic research, addressing the “crunching”
Although many graduate students and researchers have had course work in statistics, they sometimes find themselves stumped in proceeding with a particular data analysis question. In fact, statistics i
Edward F. Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the analysis of correlated response data using SAS, with special emphasi
《Java EE 6權威指南：基礎篇(第4版)》是任務導向、示例驅動的Java EE 6基礎教程，講述如何開發企業應用，并作為第4版加入了很多新內容，詳細介紹了最新的API和平臺特性。本書分8部分闡述了Java EE 6基礎知識、Web層技術(包括JavaServer Faces和Facelets)，以及如何使用JAX-WS和JAX-RS構建Web服務、使用JavaBeans組件開發業務邏輯、使用
This volume directly addresses the complexities involved in data mining and the development of new algorithms, built on an underlying theory consisting of linear and non-linear dynamics, data selectio
"This book highlights comprehensive research that will enable readers to understand, manage, use, and maintain business data communication networks more effectively"--Provided by publisher.
Data mining, an interdisciplinary field combining methods from artificial intelligence, machine learning, statistics and database systems, has grown tremendously over the last 20 years and produced co
Strengthen your understanding of data structures and their algorithms for the foundation you need to successfully design, implement and maintain virtually any software system. Theoretical, yet practic
The quality of a data warehouse (DWH) is the elusive aspect of it, not because it is hard to achieve [once we agree what it is], but because it is difficult to describe. We propose the notion that qua
A large amount of experimental data has been published since the debut of the original CRC Handbook of Thermodynamic Data of Aqueous Polymer Solutions. Incorporating new and updated material, the CRC
Applied Data Mining for Forecasting Using SAS, by Tim Rey, Arthur Kordon, and Chip Wells, introduces and describes approaches for mining large time series data sets. Written for forecasting practition
????? ?This volume provides an overview of the field of Astrostatistics understood as the sub-discipline dedicated to the statistical analysis of astronomical data. It presents examples of the applica
