1. An important part of starting a successful data mining business it's about finding problems where other businesses don't have the insiders resources and expertise to do their own monitoring, processing and data mining. Many businesses fail to implement mining techniques data, which can leave them market or technology vulnerable innovation. In light of this, you are asked to identify and describe an existing one problem (related to lack of resources and expertise for implementation data and knowledge mining methods) in any field of application you wish. In
Your description should document the need to solve the problem and the innovation it will offer.
2. Describe in detail the data needs related to the problem that identified (type, dimensions, recording mechanisms, etc.). To plan and give the context of data recording and storage as well as the needs for storage space. Also, describe the users who will adopt them results of the processing, the type as well as the goal of the provision of knowledge to them.
3. Describe the needs for applying preprocessing methods to the data that related to your idea. Give in detail the steps and algorithms that will apply as well as the reasons for their selection.
4. Describe in detail the data and knowledge mining algorithms that will adopt, the goal of each and the knowledge to be extracted. Give examples execution on the data you identified. In case you haven't spotted data, these could be randomly generated.
5. Describe in detail the strategic decisions you could base on on the results and how they will help the course of your company.