Data Mining Questions Essay Example | Topics and Well Written Essays - 1000 words

Data Mining Questions - Essay ExampleThese searches contain documents, reading about documents, selective information about info, text, audio, images and etc.Like information retrieval, data mining also involves fabrication information. With data mining query, it is inquiries on trends on the information gathered from large databases or large measuring rod of data. Data mining query uses software or web analysis services in kind through large data and picking pieces of relative information to show precedents or relationships that are embedded, wait to be discovered and possibly constructive.A databases performance is measured according to its design, effectiveness when used to take information, constantly updated and of course the amount of data available for which it was constructed for.Metric measures of performance are available to measure the effectiveness of the information retrieval. These are precision, recall, F-measure and Mean- bonny precision. Precision is the pro portion of the pertinent documents to all documents retrieved and recall is the proportion of applicable documents that are retrieved to all relevant documents available. ... A databases performance is measured according to its design, effectiveness when used to ask information, constantly updated and of course the amount of data available for which it was constructed for. Metric measures of performance are available to quantify the effectiveness of the information retrieval. These are precision, recall, F-measure and Mean-average precision. Precision is the proportion of the relevant documents to all documents retrieved and recall is the proportion of relevant documents that are retrieved to all relevant documents available. Consecutively, F-measure is the weighted harmonic mean of precision and recall and the mean average precision where average precision refers to the average of the precision after each relevant document is retrieved. For data mining query, its measure of perf ormance can be measured in the exactness of the outcome of the data mining to the intended inquiry and if there other possible usable discoveries produced in that query. 3.) Clearly pardon the concept of summarization with an example.Reference Wikipedia, Online Free EncyclopediaData mining is centered on ascertain aims from data. Queries often lead to a collection of patterns which can be regarded as a summary of data. Since pattern collections summarizing the data are often very large, it is then difficult to summarize pattern collections. Some of the proposed and analyse methods of summarizing pattern collections are 1) Quality value simplifications. 2) Pattern orderings. 3) Pattern chains and antichains. 4) Change profiles. 5) Inverse pattern discovery. For quality value simplifications, pattern collections are