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Business Analysis: Microsoft Excel 2010 (MrExcel Library)
Business Analysis: Microsoft Excel 2010 (MrExcel Library)

USE EXCEL 2010 TO GAIN DEEPER INSIGHTS, MAKE SMARTER DECISIONS, AND EARN MORE PROFITS

 

Using real-world examples, Carlberg helps you put Excel’s features and functions to work and get the power of quantitative analysis behind your management...

Learning from Catastrophes: Strategies for Reaction and Response
Learning from Catastrophes: Strategies for Reaction and Response

Breakthrough Best Practices for Managing Extreme Risks–Both Natural and Man-Made

  • How to prepare for risks ranging from financial crises and climate change to pandemics and terrorism
  • Indispensable...
Environmental Foresight and Models: A Manifesto
Environmental Foresight and Models: A Manifesto

Policy-makers and the public, it has famously been said, are more interested in the possibility of non-linear dislocations and surprises in the behaviour of the environment than in smooth extrapolations of current trends. The International Task Force in Forecasting Environmental Change (1993-1998) dedicated its work to developing procedures...

Managing and Mining Uncertain Data (Advances in Database Systems)
Managing and Mining Uncertain Data (Advances in Database Systems)

Uncertain data management has seen a revival in interest in recent years because of a number of new fields which utilize this kind of data. For example, in fields such as privacy-preserving data mining, additional errors may be added to data in order to mask the identity of the records. Often the data may be imputed using statistical methods...

Multidimensional Databases: Problems and Solutions
Multidimensional Databases: Problems and Solutions

The term "multidimensional data" generally refers to data in which a given fact is quantified by a set of measures, obtained by applying one more or less complex aggregative function (from count or sum to average or percent, and so on) to raw data. Such measures are...

Data Mining in Finance: Advances in Relational and Hybrid Methods
Data Mining in Finance: Advances in Relational and Hybrid Methods

Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining...

Salesforce.com For Dummies
Salesforce.com For Dummies

Salesforce.com For Dummies, 4th Edition, is for users of Salesforce, including those users who have the Unlimited, Enterprise, Professional, Group, Contact Manager, or Personal edition. It’s for Salesforce users who want to quickly know how to use this browser-based application for sales and customer service, all running “in the...

Planning and Design of Airports, Fifth Edition
Planning and Design of Airports, Fifth Edition

Authoritative, Up-to-Date Coverage of Airport Planning and Design

Fully updated to reflect the significant changes that have occurred in the aviation industry, the new edition of this classic text offers definitive guidance on every aspect of planning, design, engineering, and renovating airports and terminals. Planning and...

Getting StartED with Netbooks
Getting StartED with Netbooks

Getting StartED with Netbooks broadly targets consumers at a pivotal moment in the explosive growth of the MID/Netbook/UMPC market. We intend to create value for this group by providing an indispensable, "Consumer Reports Meets Whole Earth Catalog" sort of information aggregation.

For this project, timing and tone...

Data Mining in Public and Private Sectors: Organizational and Government Applications (Premier Reference Source)
Data Mining in Public and Private Sectors: Organizational and Government Applications (Premier Reference Source)

Data mining has developed rapidly and has become very popular in the past two decades, but actually has its origin in the early stages of IT, then being mostly limited to one-dimensional searching in databases. The statistical basis of what is now also referred to as data mining has often been laid centuries ago. In corporate...

Pattern Recognition and Image Preprocessing (Electrical and Computer Engineering)
Pattern Recognition and Image Preprocessing (Electrical and Computer Engineering)

This book is based in part on my earlier work. Pattern Recognition: Applications to Large Data-Set Problems, published by Marcel Dekker: Inc. in 1984. It was originally intended that this volume be a second editon of that work. However, due to the tremendous amount of material added it seemed that a new title. Pattern Recognition...

Modeling Online Auctions (Statistics in Practice)
Modeling Online Auctions (Statistics in Practice)

Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data

Online auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make...

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