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Intelligent Data Analysis for Biomedical Applications

computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as;

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SAP Predictive Analytics The Comprehensive Guide Rheinwerk Publishing

and the Automated Modeler to the Data Manager and Social Network Analysis. Get predictive analysis working for you. Highlights include;

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Automated Data Integration, Cleaning and Analysis

I would like to take this opportunity to express my thanks and gratitude to my Supervisor, Associate Professor Fadzilah Siraj, for her;

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Bioinformatics Database Systems

Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This;

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Bioinformatics Database Systems

Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This;

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Intelligent Data Engineering and Automated Learning - IDEAL 2016

This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning;

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Introduction to Data Science for Social and Policy Research

collection of many different types of data including web files, APIs, and maps; data cleaning; data formatting; the integration of different sources;

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Introduction to Data Science for Social and Policy Research

collection of many different types of data including web files, APIs, and maps; data cleaning; data formatting; the integration of different sources;

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Implementing Automated Road Transport Systems in Urban Settings

real-world data and analysis in their efforts to bring automated and intelligent transport systems into the mainstream. The CityMobil2;

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Exploratory Data Mining and Data Cleaning

based analysis techniques. Exploratory Data Mining and Data Cleaning will serve as an important reference for serious data analysts who need to;

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Automated DNA Sequencing and Analysis

A timely book for DNA researchers, Automated DNA Sequencing and Analysis reviews and assesses the state of the art of automated DNA;

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Data Cleaning

data cleaning solutions is challenging and is rife with deep theoretical and engineering problems. This book is about data cleaning, which;

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Data Cleaning

scientists. Not surprisingly, developing effective and efficient data cleaning solutions is challenging and is rife with deep theoretical and;

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Pro .Net Best Practices

are the right ways to develop software, which includes continuous integration, automated testing, automated deployment, and code analysis;

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Intelligent Data Analysis

comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based;

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Intelligent Data Engineering and Automated Learning - IDEAL 2017

This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning;

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Intelligent Data Engineering and Automated Learning -- IDEAL 2013

This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning;

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Collect, Combine, and Transform Data Using Power Query in Excel and Power BI

pasting data into workbooks and then manually cleaning that data. Gain productivity by properly preparing data yourself, rather than;

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Data Cleaning

cleaning. In this book, we first discuss the goals of data cleaning. Often, the goals of data cleaning are not well defined and could mean;

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Rapidminer

, transformation, integration, aggregation, and visualization to automated feature selection, automated parameter and process optimization, and integration;

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Automated Data Analysis Using Excel

examples in using ADO, DAO, and SQL queries to retrieve data from databases for analysis. Operations such as fully automated linear and non-linear;

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Automated Data Analysis Using Excel

examples in using ADO, DAO, and SQL queries to retrieve data from databases for analysis. Operations such as fully automated linear and non-linear;

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Automated Hematology Analyzers: State of the Art, An Issue of Clinics in Laboratory Medicine

Alexander Kratz. They present topics such as White Blood Cell Counts: Reference Methodology; Integration of Automated Heme and Bone Marrow Analysis;

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Understanding Etl and Data Warehousing

projects, this research has reviewed and revised the scope of automated testing in assuring quality data warehouse solutions. Initially a data set;

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Statistics and Machine Learning Methods for EHR Data

covers many important topics related to using EHR/EMR data for research including data extraction, cleaning, processing, analysis, inference, and;

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Effectiveness of Personal Data Protection

Automated use and processing of personal data have gained a worldwide popularity today. The age of computerization and new technologies has;

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Intelligent Data Engineering and Automated Learning IDEAL 2015

This book constitutes the refereed proceedings of the 16th International Conference on Intelligent Data Engineering and Automated;

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