Visual Studio và Data Access – Phần 1

Với phiên bản mới của Visual studio đưa ra vài cách mới để truy cập dữ liệu trong các ứng dụng của bạn. Phần này sẽ bàn luận về một số cách mà Visual Studio.NET cho phép dữ liệu được hợp nhất trong GUI, để bạn có thể tương tác với dữ liệu.

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Algorithms and Data Structures

From the inventor of Pascal and Modula-2 comes a new version of Niklaus Wirth's classic work, Algorithms Plus Data Structure Equals Programs (PH, l975).

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Introduction to Knowledge Discovery and Data Mining

Knowledge Discovery in Databases (KDD) is an automatic, exploratory analysis and modeling of large data repositories.

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An Introduction to Statistical Methods & Data Analysis

Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics

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Good Charts Workbook: Tips, Tools and Exercises for Making Better Data Visualizations

A good visualization can communicate the nature and potential impact of information and ideas more powerfully than any other form of communication.

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Visual Six Sigma Making Data analysis lean

Because of its unique visual emphasis, Visual Six Sigma opens the doors for you to take an active role in data-driven decision making, empowering you to leverage your contextual knowledge to pose relevant questions and make sound decisions.

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Clinical drug data

The best single resource available for evaluating and comparing more than 1200 commonly-used medications

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Data Modeling Essentials

The book Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques, rather than a simple familiarization with "the rules". In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice.

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Handbook of Statistical analysis and Data mining applications

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application.

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