Of all the data mining algorithms, there are 10 algorithms that get the most attention. The article goes into details on types of algorithms (supervised or unsupervised) and gives more details on each of these data mining algorithms.
Continue readingData mining steps or phases can vary. The exact # of data mining steps involved in data mining can vary based on the practitioner, scope of the problem and how they aggregate the steps and name them. Irrespective of that, the following typical steps are involved. Defining the problem: This in my opinion is one […]
Continue readingWhat is Data Mining? Simply put, Data mining is the process of sifting through large data sets to identify and describe patterns, discover and establish relationships with an intent to predict future trends based on those patterns and relationships. Why is data mining relevant now? Haven’t we been ‘mining’ data from time immemorial? Yes and […]
Continue readingFollowing are some really good data mining tutorials that we have curated from all around the web. Step by Step Tutorial from Tutorial Point. A PDF version is available for purchase but step by step tutorial is free on their web. Introduction to Data Mining by Dr. Kurt Thearling. Fairly comprehensive tutorial covering technical details, […]
Continue readingOur curation of the best data mining courses that you can find on the web. KDNuggets has an excellent Data mining Course at this link. This course is from Dr. Gregory Piatetsky-Shapiro of KDNuggets and Prof. Gary Parker of Connecticut college. What we like the best about the course is that it assumes that students […]
Continue readingData mining examples can be found in many industries and across many functions. Some data mining examples are listed below in: Telecommunications, Retail, Credit card companies, E-commerce, Human resources, educational institutions, crime agencies. Telecom service Providers Phone and telecom providers attempt to predict ‘churn’ i.e. customers switching their providers by mining through web interactions, customer […]
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