The data mining is the technique in which useful information is extracted from the raw data. The data mining is applied to accomplish various tasks like clustering, prediction analysis and association rule generation with the help of various Data Mining Tools and Techniques. In the approaches of data mining, clustering is the most efficient technique which can be applied to extract useful information from the raw data. The clustering is the technique in which similar and dissimilar type of data can be clustered to analyze useful information from the dataset. The clustering is of many types like density-based clustering, hierarchical clustering, and partitioning based clustering. The k-mean algorithm is the most efficient algorithm which is widely used to cluster similar and dissimilar types of data from the input data set. In the k-mean clustering, the centroid point is calculated by taking the arithmetic mean of the input dataset. There are various hot topics in Data Mining to do research and for the thesis.
The Euclidean distance is calculated from the centroid point to cluster similar and dissimilar points from the data set. The prediction analysis is the technique which is applied to the input dataset to predict current and future situations according to the input dataset. In the predictive analysis, the clustering is applied to cluster similar and dissimilar type of data and on the clustered data the technique of classification is applied which will classify the data for prediction analysis. There is an array of data mining tools and techniques that keep evolving to keep pace with the modern innovations.
Data mining is an iterative process and it goes through the following phases as laid down by Cross Industry Standard Process for Data Mining(CRISP-DM) process model:
Data mining is a relatively new thing and many are not aware of this technology. This can also be a good topic for M.Tech thesis and for presentations. Following are the topics under data mining to study:
Scope of Data Mining
Data Mining is a relatively new field has a bright scope now as well as in future. The scope of this field is high due to the fact that markets and businesses are looking for valuable data by which they can grow their business. Data mining as a subject should be mandatory in computer science syllabus. As earlier said data mining is a good topic for an M.Tech thesis. Students can go for deep research to have a good content for their thesis report. Data Mining finds its application in Big Data Analytics.
Importance of Data Mining
Following is the list of latest topics in data mining for final year project, thesis, and research:
These were the list of latest research, project, and thesis topics in data mining. M.Tech and Ph.D. students can contact Techsparks for thesis and research help in data mining.