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This book presents a design framework based on a centralized scalable architecture for effective simulated aerial threat perception;
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systems they have designed and developed: email worm detection using data mining, a scalable multi-level feature extraction technique to detect;
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music mining tasks and algorithms. It also discusses indexing with tags and explains how data can be collected using online human computation;
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Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL;
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Explore the different data mining techniques using the libraries and packages offered by Python Key Features Grasp the basics of data;
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Harness the power of Python to develop data mining applications, analyze data, delve into machine learning, explore object detection using;
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proteomics. It begins by describing the evolution of bioinformatics and highlighting the challenges that can be addressed using data mining;
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proteomics. It begins by describing the evolution of bioinformatics and highlighting the challenges that can be addressed using data mining;
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demonstrating the internal operation and usage of data mining algorithms using examples in R.;
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Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features;
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R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for;
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: - Literature review of research work in the area of web mining - Business websites domain researched, and data collected using site-analyzer tool;
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Threat Forecasting: Leveraging Big Data for Predictive Analysis discusses the dangers associated with relying on historical data, security;
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Data Analysis and Data Mining using Microsoft Business Intelligence Tools enables analysts, power users, and business decision makers to;
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Aerial robotic manipulation integrates concepts and technologies coming from unmanned aerial systems and robotics manipulation. It includes;
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Aerial robotic manipulation integrates concepts and technologies coming from unmanned aerial systems and robotics manipulation. It includes;
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conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or;
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. * Features significant updates since the previous edition and updates you on best practices for using data mining methods and techniques for solving;
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mining & data stream mining; big data & data science using intelligent approaches. *The conference was held virtually due to the COVID-19;
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geoscientists have no practical knowledge or experience using data mining techniques. For the few that do, they typically lack expertise in using data;
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methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and;
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data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data;
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This is an applied handbook for the application of data mining techniques in the CRM framework. It combines a technical and a business;
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details of data mining algorithms, including those commonly found in the literature and those presenting considerable difficulty, using small data;
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details of data mining algorithms, including those commonly found in the literature and those presenting considerable difficulty, using small data;
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Data Mining is the science and technology of exploring data in order to discover previously unknown patterns. It is a part of the overall;
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