ssas data mining

Data mining and analysis can be said to be the fastest-growing technology in the field of information, many different fields of experts have gained the space for development, making data mining become a hot topic of discussion in the business community.With the development of information technology, people collect

Data Mining Series ArticlesCome with me. Data Mining (1)--the significance of building data WarehouseCome with me. Data Mining (2)--Mining m

A preliminary study of data mining in the "Bi Thing"What is data mining? Data Mining, also known as Information Discovery (Knowledge Discovery), is the use of automated or semi-automated methods to find potentially valuab

both range, but also to calculate the ratio. For example, age is the ratio, 20 years old than 30 years old young 10 years old, can also ask for the mean value of age.Data types In addition to this classification there are other classifications, but such classification is the basic classification, mastered can be status quo. The quality of the data is mainly: Missing attribute values, object duplication, outliers, inconsistent

integration, Data transformation, data specification, etc. This section is interested in reading a book, "Python Data analysis and mining". The book looks like a frame. In fact, it doesn't write well. I wasted a long time.Six Modeling machine learningLearn a variety of machine learning,

Machine learning and Data Mining recommendation book listWith these books, no longer worry about the class no sister paper should do. Take your time, learn, and uncover the mystery of machine learning and data mining. machine learning Combat " : The first part of this book mainly introduces the basis of machine learni

ETL Tools: IBM Datastage Informatica PowerCenter Teradata ETL Automation OLAP (On-line Analytical Processing) Microsoft related products: SSAS Olap--rolap--molap Related (to find): OLAP (On-line analysis processing) is a kind of software technology that enables analysts, managers, or executives to access information quickly, consistently and interactively from multiple perspectives to gain a deeper understanding of the

Introduction to Data Mining Reading Notes Prerequisites for data mining: rapid advances in data collection and storage technologies. Data Mining is a technology that combines traditiona

How Data Mining solves problems This section describes how to solve business problems through data mining through several actual data mining cases. The story about "beer and diapers" in Section 2.1.1 is the most classic case in

Copyright belongs to the author.Commercial reprint please contact the author for authorization, non-commercial reprint please specify the source.Tan XinLinks: http://www.zhihu.com/question/21380122/answer/22156159Source: KnowBig Data has two directions, one is computer-biased and the other is economy-biased. You've learned Java, so you can shot computerBasis1. Reading "Introduction to Data

Common Data Mining Methods Common methods for data analysis using data mining include classification, regression analysis, clustering, association rules, features, change and Deviation Analysis, and Web page mining, they mine

Chapter 3 issues Data mining is not easy because the algorithms used become very complex and data is not always available in one place. It needs to be integrated from a variety of heterogeneous data sources. These factors also cause problems. In this tutorial, we will discuss the main issues:

Combination of data mining and financial engineering -- ariszheng Recently, a math expert asked me how to combine data mining and financial engineering? Which books are good tutorials? I am also a beginner. In my philosophy, the combination of data

Machine learning and Data Mining recommendation book listWith these books, no longer worry about the class no sister paper should do. Take your time, learn, and uncover the mystery of machine learning and data mining."Machine learning Combat": the first part of this book mainly introduces machine learning Foundation, a

Before we saw the data and the preprocessing of the data, where was the data after processing? Put it in a place called "Data Warehouse".Basic concepts of data warehousing: Definition of Data Warehouse-topic-oriented, int

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Tags: style http io ar os using SP strong dataIf you have a shopping site, how do you recommend products to your customers? This feature in manyE-commerce sites, you can also easily build similar features with SQL Server Analysis Services data mining.Will be divided into three parts to demonstrate how to implement this function. Building a mining model Writing a service interface for a