CHAITANYA BHARATHI INSTITUTE OF TECHNOLOGY (A)
Data Warehousing and Data Mining (CE-I) - IT1 - V Sem - 2020-2021
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General
Announcements
DataMining_TextBook_Link
Unit1-Part1-Introduction
Unit1-Getting to know your data-Data Objects and Attribute Types, Basic Statistical Descriptions of Data
Unit1-Part2-Getting to know your data
Unit1-Part3- Data Preprocessing
SLIP TEST 1
Unit2-Part1-Datawarehousing and OLAP
Association Rules and the Apriori Algorithm, Support, confidence and Lift Calculation
Unit2: Part 2: Mining Frequent Patterns, Association and Correlations
Unit 3 - Classification
Unit4-Part1-Advanced Classification
Unit4-Part2-Clustering
SLIP TEST 2
Assignment 1
Assignment 2
Unit 5 - Part 1- Outlier Detection
Unit 5 - Part 2- Application and Trends
PreviousYear_QuestionPapers
Slip Test Marks- Average
BEV-IT1-10/08/2020-01-02PM
Intro to DM and KDD
BE-V-14/08/2020-09:30-10:30AM
What Kinds of data can be mined
BE-V-17/08/2020-01-02PM
What kinds of pattern can be mined Part1
BE-V-18/08/2020-02:30-03:30PM
What Patterns can be mined Part2
BE-V-21/08/2020-09:30-10-30AM
Data Object and Attribute Types
BE-V-24/08/2020-01-02PM
Statistical Description of Data-Part1
BE-V-25/08/2020-02:30-3:30PM
Basic Statistical Descriptions of Data-Part2
BE-V-28/08/2020-09:30-10:30AM
Data Visualization Techniques
BE-V-31/08/2020-01-02PM
Proximity Measure: Nominal and Binary
BE-V-01/09/2020-02:30-03:30PM
Proximity Measure for Numeric Attribute
BE-V-04/09/2020-09:30-10:30AM
Proximity measure for Ordinal attribute, Cosine Similarity, Introduction to data preprocessing
BE-V-07/09/2020-04:00-05:00PM
Data Cleaning
BE-V-08/09/2020-02:30-03:30PM
Data Integration-- 1
BE-V-11/09/2020-09:30-10:30AM
Data Reduction-- Part1
BE-V-14/09/2020-01-02 pm
Data Reduction Part2
BE-V-15/09/2020-02:30-03:30PM
Data Transformation, Unit2- Data Warehousing- Introduction
BE-V-18/09/2020-09:30-10:30AM
Datawarehouse Architecture, 3 Models of DW, ETL
BE-V-21/09/2020
Data Cube
BE-V-22/09/2020-02:30-03:30PM
Star, Snowflake and Fact Constellation
BE-V-25/09/2020-09:30-10:30AM
Measure Computation, OLAP Opration
BE-V-28/09/2020-01-02PM
Datawarehouse Design and Usage
BE-V-29/09/2020-02:30-03:30PM
Datawarehousing Implementation
BE-V-06/10/2020-02:30-03:30PM
Mining Frequent Patterns, Association: Basics, Apriori Algorithm
BE-V-06/10/2020(Rescheduled Class(05/10/2020))
FPtree
BE-V-09/10/2020-09:30-10:30AM
ECLAT, Unit3- Introduction to classification and Decision Tree
19/10/2020-01-02PM
Bayesian Classification
20/10/2020-02:30-03:30PM
Rule Based Classification-Part1
23/10/2020-09:30-10:30AM
Rule Based Classification-Part2
27/10/2020-02:30-03:30PM
Model Evaluation and Selection
02/11/2020-01-02PM
Ensemble Methods
03/11/2020-02:30-03:30PM
Unit 4- Baysian Belief Network, Backpropagation Basics
06/11/2020-09:30-10:30AM
Backpropagation and SVM
09/11/2020-01-02PM
Classification based on frequent patterns and Lazy Learning
10/11/2020-01-02PM
Other classification methods, Clustering, Types
16/11/2020-02:30-03:30 PM
K mean K medoid numericals and DBSCAN basics
17/11/2020-02:30-03:30PM
Clustering graphs and network data
20/11/2020-09:30-10:30AM
Unit 5: Outlier Detection basics, Types of outliers, Supervised, unsupervised, semi supervised
23/11/2020-01-02PM
Statistical and Proximity based methods to detect outliers, Comlex data mining, Sequntial data
24/11/2020-02:30-03:30PM
Other Methodologies of Data Mining, Applications, Data Mining and Society, Data Mining Trends
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Data Warehousing and Data Mining (CE-I) - IT1 - V Sem - 2020-2021
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Information Technology
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Academic Year 2020-2021
V Semester
Data Warehousing and Data Mining (CE-I) - IT1 - V Sem - 2020-2021
Summary
Data Warehousing and Data Mining (CE-I) - IT1 - V Sem - 2020-2021
Teacher:
Ms. Kratika Sharma Assistant Professor
Skill Level
:
Beginner