Data Mining
Data Mining
Which SQL database management system is best for data mining purposes?
Any DBMS that provides indexes is suitable for data mining, which is actually the case of most of them.
Your requirements are not sufficient to determine which is the best for your business.
http://dcdbappl1.cern.ch:8080/dcdb/archive/ttraczyk/db_compare/db_compare.html#Position+on+the+market gives a pretty good comparison between 3 of the most common DBMS used today.
The shortest answer would be MySQL for simple non-critical applications and Oracle for more reliable and business applications.
Data Mining

Dynamic Data Processing Services can boost Up Your Business
Data contain letters, numbers, equations, dates, images and other raw materials. Data processing is conversation of unorganized data into useful formation. It refers to isolated step in the information processing cycle. In information data is useless unless it is in from where right meaning could be derived out of it. It encloses several types of tasks that involve entering of data into the computer, summarize it and present it in a good way. The users can be aware of it and use the data as required.
In computing, data processing can be used to refer to the use of a software application to work on various types of input data in order to make some sort of output. The result might be anything from a multimedia file to an image, or a text file. This is common thinking that usually entering words are not considered as data entry, so writing a story using a word processor would not qualify as data processing. Data processing can be entering receipts and expenditures for the month in a spreadsheet program and printing a report, however, would.
Today, data processing services are outsourced and have become very common these days. The service providers have developed a lot of automated processes that processes information in no time which results in considerable reduction in cost and effort. In addition it offers a chance to the business managers to concentrate more on core tasks of business and secondary tasks are taken care of by some expert at nominal charges.
There are few of the important data processing services that can help you business.
• Forms processing: The forms processing contains application forms, registration forms, admission forms etc.
• Cheque processing: the processing covers scanning, verification and evaluation, truncation and market assessment of cheques.
• Image processing: The image processing contains scanning, enhancing, optimizing and converting the images into desired format.
• OCR Clean up: It informs about errors and unpredictability of a large amount of figures and taking away of same to create a quality document.
• Survey Processing: This processing contains questionnaire preparation, punching of the result of the survey, analysis and interpretation of survey feedback, designing of presentation of graphics for analysis.
• Data Mining: The processing gathering several of data and Meta data, online data search and collection information through various websites. It can also collect from other online resources.
• Data Cleansing: This data contains homogenizing, validation and rectification of records. It reduces discrepancies in data and information accuracy.
About the Author
This article is written by Abhinav Singh and provided in courtesy of Data Processing, offering affordable form processing.
What does this statistics/data mining jargon mean?
“Binning”
Ex: field filtering, naming, recategorising, “binning”
Can you explain me in layman’s terms what it means? Appreciate if you could give an example or a website.
Statistics, Data Mining
“We throw all the answers about shoes into the shoe bin, and all the answers about socks in the sock bin, and all the ‘filled the questionaire out wrong’ forms in the trash bin”
Basically, it means going through the data, and for each data point, classifying it into one of several categories.
The categories will of course be highly dependent on the data being mined – shoes and socks may be OK if the mining is for clothing or fashion trends, but not if it’s for oil production or agricultural yield studies….
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