Data Mining

Data Mining (06IS74)

DATA MINING

Subject Code: 06IS74

PART - A

Unit – 1

6 Hours

Introduction, Data – 1: What is Data Mining? Motivating Challenges; The origins of data

mining; Data Mining Tasks. Types of Data; Data Quality.

Unit – 2

6 Hours

Data – 2: Data Pre-processing; Measures of Similarity and Dissimilarity

Unit – 3

8 Hours

Classification: Preliminaries; General approach to solving a classification problem; Decision

tree induction; Rule-based classifier; Nearest-neighbour classifier.

Unit – 4

6 Hours

Association Analysis – 1: Problem Definition; Frequent Item set generation; Rule

Generation;

Compact representation of frequent item sets; Alternative methods for generating frequent

item sets.

PART - B

Unit – 5

6 Hours

Association Analysis – 2: FP-Growth algorithm, Evaluation of association patterns; Effect of

Skewed support distribution; Sequential patterns.

Unit – 6

7 Hours

Cluster Analysis: Overview, K-means, Agglomerative hierarchical clustering, DBSCAN,

Overview of Cluster Evaluation.

Unit – 7

7 Hours

Further Topics in Data Mining: Multidimensional analysis and descriptive mining of

complex data objects; spatial data mining; Multimedia data mining; Text mining; Mining the

WWW.Outlier analysis.

Dept Of ISE, SJBIT

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Data Mining (06IS74)

Unit – 8

6 Hours

Applications: Data mining applications; Data mining system products and research

prototypes; Additional themes on Data mining; Social impact of Data mining; Trends in Data

mining.

Text Notess:

1. Introduction to Data Mining - Pang-Ning Tan, Michael Steinbach, Vipin Kumar,

Pearson Education, 2007

2. Data Mining – Concepts and Techniques - Jiawei Han and Micheline Kamber, 2nd

Edition, Morgan Kaufmann, 2006.

Reference Notess:

1. Insight into Data Mining – Theory and Practice - K.P.Soman, Shyam Diwakar, V.Ajay,

PHI, 2006.

Dept Of ISE, SJBIT

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Data Mining (06IS74)

TABLE OF CONTENTS

Part A

Unit – 1...