Generally, data mining is the process of analyzing data from various perspectives and summarizing it into useful information. However, this information can be used to increase revenue and reduce costs. It is the process of identifying correlations or patterns among dozens of fields in huge relational databases.
Data Mining Algorithms
The data mining algorithm is a set of calculation which creates a model from data. To create a model, the algorithm analyzes the data you provide, looking for certain types of trends or patterns.
Top Most Data Mining Algorithms
Here the topmost data mining algorithms such as
- k-means
- Apriori
- 5
- PageRank
- AdaBoost
k-means: This algorithm creates k groups from a set of objects so that the group members are so similar. It is a popular cluster to analyze a technique for exploring a dataset.
C4.5: C4.5 algorithm constructs a classifier in the form of a decision tree. It is given a set of data representing things that are already classified.
Apriori Algorithm: As a matter of fact, this type of algorithm learn association rules and it is applied to the database containing the huge number of transactions.
PageRank: It is a link analysis algorithm designed to identify the relative importance of some object linked within a network object.
AdaBoost: It is a boosting algorithm that constructs a classifier. A classifier takes a bunch of data and attempts to predict which class a new data element belongs to.
List of Data Mining Project Ideas for Engineering Students
Here the list of latest data mining project ideas for engineering students such as
- User profile matching in social platforms
- Sequence constraints for classification
- Similar search for dynamic data streams
- Efficient mining of frequent patterns on uncertain groups
- Graph-based multi-view clustering
Final Thoughts
At ElysiumPro, we provide data mining project ideas for engineering students. As well as, our domains are Networking, VLSI, cloud computing, big data, etc.
