What is the difference between data mining and hypothesis-testing?
ArrayStat FAQ: Imaging Research Inc.Data mining encompasses a variety of computational and graphical techniques aimed at reducing large amounts of data into manageable categories or "clusters". Thus, mining allows the researcher to visualize complex relationships in an easy way. A disadvantage of mining is that some results reflect "true" categories, while others are largely the result of random measurement error and biasing factors.
Related QuestionsWhat is the difference between OLAP and Data Mining?
FAQS ON SAP ABAP AND ALL MODULESOLAP - On line Analytical processing is a reporting tool configured to understand your database schema ,composition facts and dimensions . By simple point-n-clicking, a user can run any number of canned or user-designed reports without having to know anything of SQL or the schema. Because of that prior configuration, the OLAP engine “builds” and executes the appropriate SQL.
Related QuestionsFAQAns. OLAP is a technical concept where, most often, a reporting tool is configured to understand your database schema and composition (facts [values and attributes) and dimensions [levels and descriptors]). By simple point-n-clicking, a user can run any number of user-designed reports without having to know anything of SQL or the schema. But Data mining is used for detailed analyses, often algorithmic, mining actually might produce "models" that might be analyzed.Related Questions
What is difference between EDM and other Data-Mining Packages?
Frequently Asked QuestionsThe most common reason for this is that you may not have set the CLASSPATH environment variable. Also note that in some operating systems (eg, older versions of Windows), the computer must be restarted for the new values to take effect. Note that the CLASSPATH must include the path to "tmsk.zip" as well as the current directory. This is to ensure that the file "tmsk.properties" in the current directory will be found and read by the programs.
Related QuestionsWhat is Data Mining?
Frequently Asked Questions about BI2M - The OLAP and Data Mi...The phrase "knowledge discovery in databases" is often seen together with Data Mining. The goal of Data Mining is discovering hidden rules and lows in a dataset. Details quot;Data mining is the process of identifying valid, novel, potentially useful, and ultimately comprehensible knowledge from databases that is used to make crucial business decisions" Gregory Piatetsky-Shapiro
Related QuestionsbRight Software - Make your future bRight Today!Take a database of last year's sales. By itself it looks like operations data saying John Doe ordered fifteen red widgets. Apply some artificial intelligence and advanced reports to that data and you start to see trends. Maybe men between the ages of twenty-two and twenty-nine are more likely to order a red widget, where as other ages might prefer blue.Related Questions
CCSU - Data MiningUsing sophisticated statistical techniques and software, data mining is the search for significant patterns and trends in large databases. This provides information crucial to helping businesses and industries improve products, marketing, sales, and customer service. With a CCSU Master's degree in data mining, you'll be in high demand as employers look for experts to make sense of ever-increasing mountains of information.Related Questions
Q . What is the major difference between data reporting and data mining ?
FAQAns. There are a lot of software companies and experts claiming to do "data mining" when in fact they are performing "data reporting." Data mining starts with data integration ,cleansing and ends with predictions with their accuracy. In addition, ranks the predictive parameters and gives users how well they account for the observed variability.
Related QuestionsWhat is the difference between a fact, a theory and a hypothesis?
news.answers/skeptic-faqIn popular usage, a theory is just a vague and fuzzy sort of fact. But to a scientist a theory is a conceptual framework that explains existing facts and predicts new ones. For instance, today I saw the Sun rise. This is a fact. This fact is explained by the theory that the Earth is round and spins on its axis while orbiting the sun. This theory also explains other facts, such as the seasons and the phases of the moon, and allows me to make predictions about what will happen tomorrow.
Related QuestionsArticlesSimply put, data mining is the process of exploring large quantities of data in order to discover meaningful information about the data, in the form of patterns and rules. In this process, various forms of analysis can be used to discern such patterns and rules in historical data for a given business scenario, and the information can then be stored as an abstract mathematical model of the historical data, referred to as a data mining model.Related Questions
LingPipe: Frequently Asked Questions (FAQ)Data mining allows people to search for unexpected relations in large data collections and can be applied to structured collections, such as databases, as well as unstructured collections such as documents written in natural language.Related Questions
Is there data-mining capability?
Kaleidacare Solutions, Frequently Asked QuestionsYes. Data can be exported through the use of a database download. This provides a complete export of all information collected by the system into an unconnected table like structure that you will need to assimilate. With a contract with KaleidaCare for our database download service, your data can be made available at any time with the download generated on a pre-determined schedule.
Related QuestionsQ . What are the requirements for data mining ?
FAQa) Easy to Use: It should be easy to use for an expert. Data mining software should not be an MS Office look-alike, where people learning the job can intuitively play with it and get results. If they do, they'll come to you with great graphs that point you in bizarre directions. b) Speed: Three weeks to build a model is not something that can be implemented in today's business. Not in data mining at least.
Related QuestionsWhat is SQL Server Data Mining?
FAQSQL Server Data Mining is a collection of machine learning algorithms that explore your data for patterns. Once discovered these patterns can be browsed for greater insight into your data, or they can be applied to new data to create "predictions" - which allow you to determine unknown facts about data based on data the algorithms have seen before.
Related QuestionsWhat are the Applications of Data Mining?
CCSU - Data MiningApplications of data mining include fraud detection, credit card scoring and personal profile marketing. Skillful interpretation of data can enhance customer relations, direct marketing, trend analysis, financial market forecasting and international criminal investigations. Web mining, through which data is analyzed from the Web, helps business understand customer "click- stream" behavior online.
Related QuestionsWhy a Degree in Data Mining?
CCSU - Data MiningCCSU's master's degree program takes a comprehensive approach to training practitioners of the future. It focuses on statistical methodology, machine learning and business intelligence.
Related QuestionsWill there be any data mining on our information?
FAQs for Credit Bureau @ QuestNet.com.SGNo, this is strictly prohibited. The information contained will only be released to members who make enquiries for the purpose of credit assessment.
Related QuestionsWhat Is the Difference Between a Hypothesis, Theory, and Law?
Chemistry FAQs - Physical Science Frequently Asked QuestionsWords have very specific meanings in chemistry and other sciences. Learn about the difference between a scientific law, hypothesis, and theory. Examples are provided for each term.
Related QuestionsWhat is Hypothesis Inc.?
hypothesis inc. - Frequently Asked QuestionsHypothesis Inc., Theory of Self clothing line is an up and coming clothing company that aims to break away from the masses of popped collars and double meaning slogan tees to reflect one's self with creative style. The musically inspired designs offer an earthy theme with an urban twist giving a refreshing new look to the basic tee. Hypothesis Inc. was started and is run by a college student from New Jersey. All designs are original and musically inspired.
Related QuestionsHow do data webs support data mining?
DataSpace FAQA DSTP client can easily access other peoples data and metadata. Once data is retrieved from one or more sites, data mining algorithms and exploratory data analysis can be done as usual. DataSpace is designed to interoperate with proprietary and open source data mining tools. In particular the open source statistical package R has been integrated into Version 1.1 of DataSpace and is currently being integrated into Version 2.0.
Related QuestionsIs Data Mining Dangerous?
Data Mining and Predictive AnalyticsNew York, NY - Five workers were trapped in their cubicle while data mining at the research firm Thompson, Thompson and Gowhoopie. The last communication with the workers was an instant message that asked for "sandwiches from Gino's." After that, it's believed the workers battery-back up system failed and left them without any means to contact the surface. Recently, I had an interesting conversation with an associate regarding graphs.
Related QuestionsIs Data Mining still on the rise?
Data Mining and Predictive AnalyticsAnother very interesting and thoughtful take on Predictive Analytics and Data Mining from Mark Madsen can be found here. I've never met him before, but I think I'd like to since he is a TDWI kind of guy, obviously well informed, and I'll be in the same location this May in Boston teaching a data mining course at the next TDWI conference in Boston on the 17th, which is Thursday. But back to the article...Mr.
Related QuestionsIs Data Mining Too Complicated?
Data Mining and Predictive AnalyticsI just read an interesting post on Infoworld entitled Data Mining Donald. In it there is a very interesting comment, and I quote: Before I comment further, I'll just open it up to any commenters here. There are other very interesting and important parts of the post as well. Recently, much has written specifically about data mining's likely usefulness as a defense against terrorism.
Related QuestionsWill the term "Data Mining" survive?
Data Mining and Predictive AnalyticsI used to argue that data mining as a field will survive because it was tied so much to the bottom line--CFOs and stakeholders were involved with data mining applications and therefore the field would avoid the hype that crippled neural networks, AI and prior pattern recognition-like technologies. These achieved buzzword status that unfortunately surpassed successful practical applications.
Related QuestionsCan Data Mining Catch Terrorists?
beSpacific: Civil Liberties ArchivesPress release, May 24, 2006: "U.S. Senators Dianne Feinstein (D-Calif.) and Arlen Specter (R-PA) today introduced legislation (22 pages, PDF) that would reaffirm that the Foreign Intelligence Surveillance Act (FISA) is the exclusive means by which our government can conduct electronic surveillance of U.S. persons on U.S. soil for foreign intelligence purposes.
Related QuestionsWhat other data mining efforts has the NSA been involved with?
News.com to go | CNET News.comDetails are classified, of course. But a few hints have become public, and we know that the NSA has funded or been otherwise involved in dozens of programs in the past. Correction: This story mistakenly identified Sen. Bill Nelson as a Florida Republican. He is a Democrat. The New York Times reported in February that NSA officials had recently met with Silicon Valley companies while shopping for better data mining techniques. Virage, in San Mateo, Calif.
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