Basic Introducing Principle AutoCAD Civil 3D 2009

If you are a civil engineer or civil engineering student, you will understand how to apply AutoCAD Civil 3D to real-world, professional situations after reading this book. In this helpful introductory guide, you will find an overview of key concepts and in-depth, detailed coverage of special topics like lines and arcs, points, surveying, parcels, surfaces, alignments, profiles, corridors, grading, sections, pipes, and project management.

Practical tutorials, tips, tricks, real-world examples and easy-to-follow explanations detail all aspects of a civil engineering project.

Many of the featured topics and techniques, directly applicable to the civil engineering profession, are previously undocumented. With Learn the basics of AutoCAD Civil 3D easily and efficiently from the straightforward explanations and realistic exercises in Introducing AutoCAD Civil 3D 2009.

If you already possess some background in Civil 3D but want to broaden your understanding of this popular civil engineering software, Mastering AutoCAD Civil 3D 2009 will provide you with detailed coverage of advanced topics like surveying. more e-book @ www.miatut.com

Data Mining Studies in Computational Intelligence

This book contains valuable studies in data mining from both foundational and practical perspectives. The foundational studies of data mining may help to lay a solid foundation for data mining as a scientific discipline, while the practical studies of data mining may lead to new data mining paradigms and algorithms.

The foundational studies contained in this book focus on a broad range of subjects, including conceptual framework of data mining, data preprocessing and data mining as generalization, probability theory perspective on fuzzy systems, rough set methodology on missing values, inexact multiple-grained causal complexes, complexity of the privacy problem, logical framework for template creation and information extraction, classes of association rules, pseudo statistical independence in a contingency table, and role of sample size and determinants in granularity of contingency matrix.

The practical studies contained in this book cover different fields of data mining, including rule mining, classification, clustering, text mining, Web mining, data stream mining, time series analysis, privacy preservation mining, fuzzy data mining, ensemble approaches, and kernel based approaches.

We believe that the works presented in this book will encourage the study of data mining as a scientific field and spark collaboration among researchers and practitioners. more e-book @ www.miatut.com