Data Mining Questions - Essay Example

These searches contain documents, information about documents, data about data, text, audio, images and etc. Like information retrieval, data mining also involves gathering information. With data mining query, it is inquiries on trends on the information gathered from large databases or large amount of data. Data mining query uses software or web analysis services in sorting through large data and picking pieces of relative information to show patterns or relationships that are embedded, waiting to be discovered and possibly constructive.

A database's performance is measured according to its design, effectiveness when used to inquire '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. . A database's performance is measured according to its design, effectiveness when used to inquire '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 performance 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 explain the concept of summarization with an example.Reference: Wikipedia, Online Free Encyclopedia Data mining is centered on determining patterns 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 studied 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