The internet emerged and evolved so rapidly, that companies were faced with the need to adapt to a new environment. This early book focuses upon building communities on the Internet. It further provides information on establishing identity, motivation to succeed, and community. First published in 1995, many of the principals explained here still ring true.

This book is concerned with the theory of stochastic processes and the theoretical aspects of statistics for stochastic processes. It combines classic topics such as construction of stochastic processes, associated filtrations, processes with independent increments, Gaussian processes, martingales, Markov properties, continuity and related properties of trajectories with contemporary subjects: integration with respect to Gaussian processes, Itȏ integration,...

It is usual that existing material on computer aided geometric design oscillates between over-simplification for programmers and practitioners and over formalism for scientific or academic readers. The first type of publications suppresses the taxonomy and properties of the mathematical concepts discussed when seeking straightforward notation and procedures. The second type of materials in thorough in the mathematical concepts at the expense of increasingly...

The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition-more than 50% new and revised- is a significant update from the previous one, and shows you how to harness the newest data mining...

Create a competitive advantage with data quality Data is rapidly becoming the powerhouse of industry, but low-quality data can actually put a company at a disadvantage. To be used effectively, data must accurately reflect the real-world scenario it represents, and it must be in a form that is usable and accessible. Quality data involves asking the right questions, targeting the correct parameters, and having an effective internal management, organization,...

Technological changes have often produced important social changes that translate into spatial and planning practice. Whereas the intelligent city is one of the unavoidable and even dominant concepts, digital uses can influence urban planning in four different directions. These scenarios are represented by a compass composed of a horizontal axis opposing institutional and non-institutional actors, and a second axis with open and closed opposition....

Learn the art and science of predictive analytics - techniques that get results Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods,...

The long-awaited, comprehensive guide to practical credit risk modeling “Credit Risk Analytics” provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code...

Every major industry except construction uses logistics to improve its bottom line... Poor logistics is costing the construction industry at least £3 billion a year according to a report — 'Improving Construction Logistics' — published by the Strategic Forum for Construction. Additional costs arise as a result of operatives waiting for materials, and skilled craftsmen being used for unskilled jobs. Inadequate management of logistics also has...

This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of each approach and the reasons behind them are methodically analyzed, and both simple and advanced examples...