Page 79 - B.Tech IT Curriculum and Syllabus R2017 - REC

Department of IT, REC

UNIT V CLUSTER ANALYSIS AND DATA MINING APPLICATIONS 10
Cluster Analysis- Partitioning Methods- Hierarchical Methods: Agglomerative versus Divisive
Hierarchical Clustering- Density-Based Methods: DBSCAN- Grid-Based Methods: STING:
Statistical Information Grid-Outlier Detection-Data Mining Applications: Science and Engineering-
Data Mining Tools: Weka & R -Web Mining-Emerging Trends in Data Mining. (TB1-CH: 10)

TOTAL: 45 PERIODS

OUTCOMES:
After completing this course, the student will be able to:
1. Apply the Data Warehousing and Business Analytics concepts.
2. Apply the concepts of Data Mining to large data sets.
3. Make use of Association and Correlations Algorithms.
4. Compare and Contrast the various classifiers.
5. Apply Clustering and outlier Analysis and to solve Data Mining Case Studies.

TEXT BOOK:
1. Jiawei Han and Micheline Kamber, ―Data Mining Concepts and Techniques‖, Third
Edition, Elsevier, 2012.

REFERENCES:
1. Pang-Ning Tan, Michael Steinbach and Vipin Kumar, ―Introduction to Data Mining‖, Person
Education, 2007.
2. K.P. Soman, Shyam Diwakar and V. Aja, ―Insight into Data Mining Theory and Practice‖,
Eastern Economy Edition, Prentice Hall of India, 2006.
3. G. K. Gupta, ―Introduction to Data Mining with Case Studies‖, Eastern Economy Edition,
Prentice Hall of India, 2006.
4. Daniel T.Larose, ―Data Mining Methods and Models‖, Wiley-Interscience, 2006.
5. Alex Berson and Stephen J.Smith, ―Data Warehousing, Data Mining and OLAP‖, Tata
McGraw – Hill Edition, Thirteenth Reprint 2008.

IT17E63 ADVANCED JAVA PROGRAMMING L T P C
3 0 0 3

OBJECTIVES:

The student should be able to
 Gain knowledge on Java Fundamental basics
 Know thenetwork programming in java
 Understand the Image processing using java
 Learn the Image manipulation using Java
 Learn the various cryptographic Library in java

UNIT I JAVA FUNDAMENTALS 9

Java Virtual Machine – Reflection – I/O Streaming – Filter and Pipe Streams – ByteCodes – Byte
Code Interpretation – Dynamic Reflexive Classes – Threading – JavaNative Interfaces – GUI
Applications.(Ref. Book 5: Chapter 2,11,13,19,21,22,23)

Curriculum and Syllabus | B.Tech. Information Technology | R2017 Page 79