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Microsoft SQL Server 2014 Business Intelligence Development Beginners Guide
Microsoft SQL Server 2014 Business Intelligence Development Beginners Guide

Get to grips with Microsoft Business Intelligence and data warehousing technologies using this practi cal guide

About This Book

  • Discover the Dimensional Modeling concept while designing a data warehouse
  • Learn Data Movement based on technologies such as SSIS, MDS, and DQS
  • ...
Robust Control Systems with Genetic Algorithms (Control Series)
Robust Control Systems with Genetic Algorithms (Control Series)

In recent years, new paradigms have emerged to replace-or augment-the traditional, mathematically based approaches to optimization. The most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the optimization of symbolic codes.

Robust
...

Getting Started with SAS Enterprise Miner 5.3
Getting Started with SAS Enterprise Miner 5.3
SAS Enterprise Miner 5.3 is the SAS data mining solution that addresses the entire data mining process using an intuitive Java point-and-click interface. This guide introduces you to the core functionality of SAS Enterprise Miner and shows you how to perform basic data mining tasks. You will learn how to use the graphical user interface (GUI) tools...
Bayesian Computation with R (Use R)
Bayesian Computation with R (Use R)
The book is a concise presentation of a wide range of Bayesian inferential problems and the computational methods to solve them. The detailed and thorough presentation style, with complete R code for the examples, makes it a welcome companion to a theoretical text on Bayesian inference.... Smart students of statistics will want to have both R and...
Data Mining in Finance: Advances in Relational and Hybrid Methods
Data Mining in Finance: Advances in Relational and Hybrid Methods

Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining...

Applied Data Science with Python and Jupyter: Use powerful industry-standard tools to unlock new, actionable insights from your data
Applied Data Science with Python and Jupyter: Use powerful industry-standard tools to unlock new, actionable insights from your data

Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications.

Key Features

  • Get up and running with the Jupyter ecosystem and some example datasets
  • Learn about key machine...
Early Breast Cancer: From Screening to Multidisciplinary Management, Second Edition
Early Breast Cancer: From Screening to Multidisciplinary Management, Second Edition

This book discusses the principles and practice of breast cancer management within the context of multidisciplinary team working and places emphasis on pragmatism. The text provides a comprehensive and contemporary account of the subject and should permit the reader to develop a firm understanding of the disease from epidemiology, genetics...

High Performance Control of AC Drives with Matlab / Simulink Models
High Performance Control of AC Drives with Matlab / Simulink Models

A comprehensive guide to understanding AC machines with exhaustive simulation models to practice design and control

Nearly seventy percent of the electricity generated worldwide is used by electrical motors. Worldwide, huge research efforts are being made to develop commercially viable three- and multi-phase motor drive...

Recent Advances In Data Mining Of Enterprise Data: Algorithms and Applications (Series on Computers and Operations Research)
Recent Advances In Data Mining Of Enterprise Data: Algorithms and Applications (Series on Computers and Operations Research)

The main goal of the new field of data mining is the analysis of large and complex datasets. Some very important datasets may be derived from business and industrial activities. This kind of data is known as enterprise data . The common characteristic of such datasets is that the analyst wishes to analyze them for the purpose of designing a...

Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala
Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala

Powerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming.

Key Features

  • Explore machine learning techniques with prominent open source Scala libraries such as Spark ML, H2O, MXNet, Zeppelin, and DeepLearning4j
  • ...
Data Mining: Special Issue in Annals of Information Systems
Data Mining: Special Issue in Annals of Information Systems

Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including computer science, statistics, operations research, and information systems. Data mining supports a wide range of applications, from medical decision making,...

RapidMiner: Data Mining Use Cases and Business Analytics Applications
RapidMiner: Data Mining Use Cases and Business Analytics Applications

Powerful, Flexible Tools for a Data-Driven World
As the data deluge continues in today’s world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision making and forecasting, and
...

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