What is model based method?
Answer / Abhishek Kumar Banswal
Model Based Method in Data Mining refers to techniques that build predictive models using statistical or machine learning algorithms. The models are trained on a dataset and used to make predictions or classify new data. Examples include Linear Regression, Logistic Regression, Decision Trees, and Support Vector Machines.
| Is This Answer Correct ? | 0 Yes | 0 No |
Mention some of the data mining techniques?
What is discrete data in data mining world?
Explain constraint-based method?
Define binary variables? And what are the two types of binary variables?
Explain areas where data mining has bad effects?
What is cure?
What do you mean by partitioning method?
What are the advantages data mining over traditional approaches?
Explain Machine Learning Based Approach?
Define descriptive model?
What is rollup and cube?
What is model is data mining?
AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)
AI Computer Vision (13)
AI Neural Networks (66)
AI Fuzzy Logic (31)
AI Games (8)
AI Languages (141)
AI Tools (11)
AI Machine Learning (659)
Data Science (671)
Data Mining (120)
AI Deep Learning (111)
Generative AI (153)
AI Frameworks Libraries (197)
AI Ethics Safety (100)
AI Applications (427)
AI General (197)
AI AllOther (6)