weka data mining tool

center environment is deployed and self-service based on telephone and Web is implemented. They enable enterprises to meet their customers' unique needs at a faster speed and higher efficiency. In most cases, customer loyalty and profitability depend on whether the company can provide quality services. Therefore, customer service and support are critical to many enterprises. "Executive Information System (EIS )" With the advent of the e-commerce era, business operations in all walks of life are

Just a few, say something:Basic article:1. Reading "Introduction to Data Mining", this book is very easy to understand, there is no complex advanced formula, very suitable for people to get started. You can also use this book for reference "Data mining:concepts and Techniques". The second is thicker, but also a bit more knowledge of

Project homepage: Http://code.google.com/p/python-data-mining-platform/ (may need to flip) Tutorial and other content have been added to the googlecode. You can view it in the Wiki. Project Introduction (copied from the project homepage ): This is a matrix that can be represented in CSV format or a Chinese document based on the source data.AlgorithmA platform to get results. Algorithms can run

hundreds of models per year, data and model Management is very complex, data mining is expected to benefit very much, users have a good theoretical foundation and application level, you should choose powerful, flexible and efficient mining tools; otherwise, you should consider those features relatively simple, suite-s

HotSpot association rule algorithm (2) -- mining continuous and discrete data and hot spot discretization This code can be downloaded at (updated tomorrow. The previous article hot spot association rule algorithm (1) -- mining discrete data analyzes the hot spot Association Rules of discrete

:// www-ai.cs.uni-dortmund.de/index.html Data Mining, MIT OCW http://ocw.mit.edu/ocwweb/ sloan-school-of-management/15-062data-miningspring2003/coursehome/ Data Mining Group, Tsinghua http ://dbgroup.cs.tsinghua.edu.cn/dmg.html KDD Oral Presentations video http://www.videolectures.net

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

my article. In the adventure works example provided by Microsoft, the Data Warehouse Library has been created for us. In version 2012, the default name is adventureworksdw2012. In the first demonstration, we used a view: vassocseqlineitems. This view records the order number, product name, and other information. Through this view, another view is nested, And we generate an Association Rule Mining Model

higher than the above one or two.Iv. Data MiningThat is datamining, this is the current trend, it is often based on the basis of NLP, combined with some typical data mining algorithms, such as classification, clustering, neural network-related algorithms, so as to achieve data min