Please enable JavaScript.
Coggle requires JavaScript to display documents.
MINING ALGORITHM - Coggle Diagram
MINING ALGORITHM
Decision tree
Decision Tree generates the output as a binary tree-like structure, which gives fairly easy interpretation of data. A root node, branches, and leaf nodes are all part of it. Each internal node represents an attribute test, each branch represents a test result, and each leaf node represents a class label.
- In business decision tree cam evaluate the prospective growth opportunities for businesses based on historical data. Historical data on sales can be used in decision trees that may lead to making radical changes in the strategy of a business to help aid expansion and growth.
- In demographic data the decision tree can be used in demographic data to find prospective clients. They can assist in streamlining a marketing budget and making informed assumptions about the business's target market. Without decision trees, the company may spend its marketing budget without considering a certain demography, which will have an impact on overall sales
- In strategic management they can help in determining appropriate strategies that will help a company achieve its intended goals.
Describe the decision that needs to be made in the root node and connect it with branches.Then, write the possible solutions at the end of branches. The outcome of solution are put last as the final choice of suggested solution.
When we have a big data that have their own category of attribute, we can export it in visual shape which is decission tree instead of data log.
Evaluation Method
Evaluation method is a method on giving and having a feedback as well as adjusting your programs accordingly. It is a systematic assessment of the worth or merit of time, money, effort and resources spent in order to achieve a goal.
Evaluation method can be use when measuring a performance, quality assessment, organizational effectiveness.
When conducting data that feasibly collected and analyzed such as attendance, surveys, questionare or any financial reports.
-
-apply implementation step by collect data, analysis it and finding data reference.
-
Clustering
• Cluster Analysis in Data Mining refers to the process of identifying a group of objects that are similar to one another but distinct from those in other groups.
•Image processing, data analysis, pattern recognition, market research
-
• Graph Partitioning- Cluster analysis is a method of categorization in which regions are not identical and are only classed based on mutual synergy and significance.
• Results of a query- The groupings are constructed based on the specifications provided by external sources in this sort of categorization.
• Simple Segmentation- Division of names into separate groups of registration based on the last name does not qualify as Cluster Analysis.