COURSE OUTLINE: Data mining is the study of algorithms for finding patterns in large data sets. It is an integral part of modern industry, where data from its operations and customers are mined for gaining business insight. It is also important in modern scientific endeavors. Data mining is an interdisciplinary topic involving, databases, machine learning and algorithms. The course will cover the fundamentals of data mining. It will explain the basic algorithms like data preprocessing, association rules, classification, clustering, sequence mining and visualization. It will also explain implementations in open-source software. Finally, case studies on industrial problems will be demonstrated.
Overview
Syllabus
Lecture 1 Introduction, Knowledge Discovery Process.
Lecture 2 Data Preprocessing - I.
Lecture 3 Data Preprocessing - II.
Lecture 4 Association Rules.
Lecture 5 Apriori algorithm.
Lecture 6 : Rule generation.
Lecture 7 : Classification.
Lecture 8 : Decision Tree - I.
Lecture 9 : Decision Tree - II.
Lecture 10 : Decision Tree III.
Lecture 11 : Decision Tree IV.
Lecture 12 : Bayes Classifier I.
Lecture 13 : Bayes Classifier II.
Lecture 14 : Bayes Classifier III.
Lecture 15 : Bayes Classifier IV.
Lecture 16 : Bayes Classifier V.
Lecture 17 : K Nearest Neighbor I.
Lecture 18 : K Nearest Neighbor II.
Lecture 19 :.
Lecture 20.
Lecture 21.
Lecture 22 : Support Vector Machine I.
Lecture 23 : Support Vector Machine II.
Lecture 24 : Support Vector Machine III.
Lecture 25 : Support Vector Machine IV.
Lecture 26 : Support Vector Machine V.
Lecture 27: Kernel Machines.
Lecture 28: Artificial Neural Networks I.
Lecture 29:Artificial Neural Networks II.
Lecture 30: Artificial Neural Networks III.
Lecture 31: Artificial Neural Networks IV.
Lecture 32: Clustering I.
Lecture 33: Clustering II.
Lecture 34: Clustering III.
Lecture 35: Clustering IV.
Lecture 36: Clustering V.
Taught by
Data Mining - IITKGP
Tags
Reviews
4.4 rating, based on 25 Class Central reviews
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I recently completed a course on Data Warehouse and Mining, and it was an incredibly insightful experience. The course provided a solid foundation in understanding the architecture and functioning of data warehouses, along with hands-on practice on…
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Great introductory course with good content and clear explanations, perfect for beginners in data mining.
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All the topics are covered and explained excellently.This data mining course offers a great introduction to uncovering patterns and insights from large sets of data. It usually covers essential topics like classification, clustering, association rule mining, and anomaly detection. The course is generally engaging, with practical exercises and projects to help solidify learning. Whether you're a beginner or looking to sharpen your data skills, it's a valuable course for anyone interested in fields like data science, analytics, or machine learning.
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I recently completed an online course on data mining, and it was an enriching experience. The course covered a wide range of topics, including classification, clustering, association rules, and predictive analytics, with a strong focus on practical…
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The data mining course offered a comprehensive introduction to essential concepts and techniques in the field. It effectively blended theoretical foundations with practical applications, making complex topics accessible to engineering students. The…
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The Data Warehousing and Data Mining (DWM) course offered an in-depth exploration of essential concepts and techniques in the field. The content was well-structured, covering key topics such as data warehousing architecture, ETL processes, and advanced data mining methods. The instructor’s expertise and engaging teaching style made complex topics accessible and understandable. Practical examples and hands-on exercises were particularly valuable for reinforcing theoretical knowledge. The course was up-to-date with current technologies and best practices, making it highly relevant. Overall, it provided a comprehensive foundation in DWM, equipping me with both theoretical insights and practical skills.
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It was a grateful experience for learning from iit's professor and especially subject is data mining. As it involves extracting useful information from large datasets using techniques like classification, clustering, regression, and association rule mining. Key steps include data preprocessing (cleaning and transforming data), applying algorithms to discover patterns, and evaluating results. Tools like decision trees, neural networks, and k-means clustering are commonly used. The goal about this course is to uncover hidden patterns, correlations, and insights that can inform decision-making and predictions across various fields i clearly get that under professor guidance. Thank you!
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The lectures are well-structured, covering essential topics in data mining such as data preprocessing, association rule mining, and clustering. The instructor explains complex concepts clearly and concisely, making it easy for learners to follow along. The course also provides practical examples and quizzes, which help reinforce the concepts learned. I highly recommend this course for anyone interested in data mining or looking to enhance their data analysis skills.
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The lectures are well-organized and cover key topics in data mining, including data preprocessing, association rule mining, and clustering. The instructor breaks down complex ideas in a clear and straightforward manner, making it easy to understand. Practical examples and quizzes are provided throughout the course to reinforce learning. I highly recommend this course to anyone interested in data mining or wanting to improve their data analysis skills.
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I want to sincerely thank you for sharing your valuable knowledge with us. Your clear explanations and dedication have greatly enhanced my understanding of the subject. The lessons have been incredibly helpful, and I am grateful for the effort you put into teaching. I would love to request a more detailed video on certain aspects to deepen my comprehension further. Your guidance has been truly inspiring, and I look forward to learning more from you.
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The course provided a thorough introduction to data mining and machine learning techniques. It covered essential topics like data preprocessing, association rules, classification methods, and clustering. Detailed explanations of algorithms make it suitable for both beginners and intermediate learners.
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The NPTEL Data Mining course is a solid resource for anyone looking to grasp the fundamentals of data mining. It is well-structured, led by experts, and offers valuable certification. However, it does demand a good amount of self-discipline and prior knowledge to get the most out of the course
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This was an insightful course! Learnt a lot about data mining and the different algorithms like data preprocessing, association rules, classification, clustering, sequence mining and visualization. The case studies were very insightful as well!
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The course is really good and provided by IITkgp is cherry on top , I personally learned a lot of things as compared with by college teachers which fails to teaches such type of things , really recommend 100 percent
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This course was very informative as I learned a to of new things which I could have not otherwise and would really love to take further courses in the future to increase my level in Data mining and other courses.
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It is very knowledgeable and very depth learning course of data warehouse and mining. It is give the entire and depth knowledge of data warehouse and mining concepts
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Overall, this was a great course. I have learned a lot while pursuing this course, and it also helps me in a lot of ways in my academic-related topics
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enjoyed the course very much , This data mining course offers clear concepts, practical examples, and hands-on exercises, boosting skills efficiently
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It was a great experience. I liked the course and enjoyed it. The explanation was easy to understand and helped to understand this subject in depth
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It was a great lecture on Data Mining. I learn to so much about various algorithms used in Data mining and their use cases.