data mining with rattle and r

analytical processing): Online Analytical Processing OLAP was proposed by E. F. codd in 1993.Definition by the OLAP Council: OLAP is a software technology that enables analysts to quickly, consistently, and interactively observe information from various aspects to gain an in-depth understanding of data, this information is directly converted from raw data. They reflect the real situation of the enterprise

Data mining is one of the most exciting new features of SQL Server . I view data mining as a process that automates the analysis of data to obtain relevant information, and data mining

or subject data (Subjectarea). In the process of data Warehouse implementation, it is often possible to start with a Department data mart and then make a complete data warehouse with several data marts. It is important to note that when implementing a different

Original: (original) Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Naive Bayes algorithm)This article is mainly to continue on the two Microsoft Decision Tree Analysis algorithm and Microsoft Clustering algorithm, the use of a more simple analysis algorithm for the target customer group

Tags: article vs2008 reg knowledge View HTM new research will notObjective This article continues our Microsoft Mining Series algorithm Summary, the previous articles have been related to the main algorithm to do a detailed introduction, I for the convenience of display, specially organized a directory outline: Big Data era: Easy to learn Microsoft Data

Original: (original) Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Decision Tree Analysis algorithm)With the advent of the big data age, the importance of data mining becomes a

The research report, the author is Chen SHUWI software data expert, in a 1-year time to create a best practice, today and you share, about the "Data Mining and Operations analysis", together Explore ~Chen is a high-priority cloud software (from monitoring, to application experience, to automated continuous delivery of full stack service platform)

In principle, data mining can be applied to knowledge mining in any information storage mode. However, the challenges and technologies of data mining vary with the Storage types of source data. In particular, recent studies show t

　　The top conferences in the field of data mining are KDD (ACM sigkdd Conference on Knowledge Discovery and data Mining), as well as the public awareness of peers to the Conference, which is recognized, The top-ranked conferences are KDD, ICDE, cikm, ICDM, SDM, and periodicals are ACM TKDD, IEEE Tkde, ACM TODS, ACM Toi

Data Mining: Concepts and technologiesBasic InformationOriginal Title: Data Mining: concepts and techniques, Third EditionAuthor: (US) Jiawei Han University of Illinois-erbana-shangpain (plus) mirine kamber Simon-Fraser University (plus) Jian Pei Simon-Fraser University [Introduction to translators]Translator: Fan Ming

Data China's banking, securities, telecommunications, insurance industry are talking about "data concentration", hope on this basis to achieve customer relationship management and business intelligence. The new job title, "Data mining engineer," is also vaguely present in the company's recruiting posts. Is