DATA MINING

The presentation was conducted jointly between Joshua Shendu and Remy Kaaro, The presentation was well planed and presented by the all presenters because it was well understood and interesting. The lesson was aimed at giving the awareness to all students on how they can get and give varieties of information to other people. Now, data mining is the process of extracting the hidden patterns from large amount of data. As the words themselves are in relation to minerals, people have been manually extracting the information from data for centuries but the data are increasing arithmetically hence they are in need of modern methods of extracting those in formations, which is known as automatic approaches.
The data mining can be categorized in several forms, which are relational database and social network data mining. This involves the mining of data that has good relationship in the database. Text mining this involves the finding of the written information on different documentary places. Audio mining involves the finding of information, which is in sound form. Video data mining are data finding which are in animated pictures are is motion. Image data mining is the finding of information that are extracted from the images. Web data mining is the mining is the search of information, which are found in the WebPages.
The very important part was the analysis of three stages of data mining which is the exploration of the information. This stage starts with the data preparation that also involves the cleaning of data and data transformation. The second stage is the Model building and validation, this is the very important part where the data user get confirmation on the validity of those information, also choose the best one based on their predictive performance. Third is the deployment, this is the final stage which involves using the model selected as best in the previous stage and applying it to new data in order to generate predictions or estimates of the expected outcomes.
Moreover the presentation covered on the advantages of data mining which started that are used by marking different achievements which reached by a certain integrated projects. Banking systems are the most stakeholders of the data mining activities for search the nature and type of customs they could have in different societies. The law enforcing organs are also using the data mining for security purposes e.g. police military and other of the like. Researchers are also using the data found in the system and adding more information in the inventory.
Further more they presented the disadvantages of data mining where they analyzed about security issues where some information can be licked to the sabotage groups like criminal groups. The misuse of the information where some of the information is privacy the expose of that information is not putting some people in harmonious situation.