How to Use Data-Mining Algorithms
Data mining is a growing trend. All of the hardware and software needed has been developing quickly over the last few decades. Data mining will be the way of the future. Almost any kind of information can be found by using research algorithms to extract what the user is looking for. Utilizing the algorithms involves 'engineering' a search to find what you want.
Other People Are Reading
Instructions
-
-
1
Find databases to search. Databases can be found online, or on corporate intranets, or by pay access.
-
2
Make sure the database includes the information you need. Without the right database, any algorithm will be unsuccessful in extracting relevant data.
-
-
3
View the algorithm code and make sure that it is analyzing the place where your needed information is. Write down the fields and variables that you are interested in and see if they match what the algorithm is searching for.
-
4
Do a simple test. Enter a known piece of data to see if the algorithm returns that data.
-
5
If the data is not returned, you may need to 'fix' the algorithm by targeting it differently or repairing bugs in the code.
-
1
Tips & Warnings
Find a good interface for presentation of results. You can get all kinds of good data, but without managing them, it will still seem like gibberish. Your resulting data should be categorized according to importance, or run through filters that make their properties clearer and relevant to the intent of the study. Further clarifications can be coded into software, or done by human analysts with clear sets of directions. The question is: what are you going to do with the information you receive?
