Jntu college of engineering (autonomous):: kakinada




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JNTU COLLEGE OF ENGINEERING (AUTONOMOUS):: KAKINADA


M.Tech. ( Computer Science & Engineering )

Data warehousing and Data Mining


Unit I : Introduction to Data Mining, types of data, Data Quality, Data Preprocessing, Measures of Similarity and dissimilarity, Exploring Data : Data Set, Summary statistics, Visualization, OLAP and multidimensional data Analysis.


Unit II : Classification: Basic concepts, Decision Trees, and model evaluation : General approach to solving a classification problem, Decision tree induction, Model over-fitting, Evaluating the performance of a classifier.


Unit III : Classification-Alternative Techniques : Rule based classifier, Nearest neighborhood classifier, Bayesian classifiers, Artificial Neural Networks, support vector machine, Ensemble methods, class imbalance problems, multi-class problems. Case studies on KDD Insurance Risk assessment, A Data Mining approach to for retailing Bank customer Attrition Analysis.


Unit IV: Association Analysis : Problem definition, Frequent Itemset generation, Rule generation, compact representation of frequent Itemsets, FP-Growth Algorithms, Evaluation of association patterns, handling categorical, continuous attributes, concept hierarchy, Sequential, Sub graph, infrequent patterns.


Unit V : Cluster analysis : Overview, K-means, Agglomerative Hierarchical clustering, DBSCAN, Cluster Evaluation, Additional issues and Algorithms : Characteristics of Data, Cluster, and Clustering Algorithms


Unit VI : Prototype based clustering, Density based clustering, Graph based clustering, Scalable Clustering Algorithms, Case study on Efficient Clustering of Very large Document collection.


Unit VII : Web Data Mining : Introduction, Web terminology and characteristics, Web content mining, web usage mining, web structure mining, Search Engines: Characteristics, Functionality, Architecture, Ranking of web pages, Enterprise search.


Unit VIII : Anomaly Detection: Preliminaries, Statistical approaches, Proximity based outlier detection, Density based Outlier detection, and Clustering based techniques. Information Privacy : Basic principles, Pitfalls, Revised set of Privacy policies


Text Books :

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

Introduction to Data Mining with case studies, G K Gupta, Prentice Hall .


JNTU COLLEGE OF ENGINEERING (AUTONOMOUS):: KAKINADA


M.Tech. ( Computer Science & Engineering )

WEB TECHNOLOGIES


UNIT-I: HTML Common tags- List, Tables, images, forms, Frames; Cascading Style sheets.


UNIT-II: Introduction to Java Scripts, Objects in Java Script, Dynamic HTML with Java Script.


UNIT-III: XML: Document type definition, XML Schemas, Document Object model, Presenting XML, Using XML Processors: DOM and SAX


UNIT-IV: Java Beans: Introduction to Java Beans, Advantages of Java Beans, BDK Introspection, Using Bound properties, Bean Info Interface, Constrained properties, Persistence, Customizes, Java Beans API, Introduction to EJB’s


UNIT-V: Web Servers: Introduction to Servelets: Lifecycle of a Serverlet, JSDK, The Servelet API, The javax.servelet Package, Reading Servelet parameters, Reading Initialization parameters. The javax.servelet HTTP package, Handling Http Request & Responses, Using Cookies-Session Tracking, Security Issues,


UNIT-VI: Introduction to JSP: The Problem with Servelet. The Anatomy of a JSP Page, JSP Processing. JSP Application Design with MVC Setting Up and JSP Environment: Installing the Java Software Development Kit, Tomcat Server & Testing Tomcat


UNIT-VII: JSP Application Development: Generating Dynamic Content, Using Scripting Elements Implicit JSP Objects, Conditional Processing – Displaying Values Using an Expression to Set an Attribute, Declaring Variables and Methods Error Handling and Debugging Sharing Data Between JSP pages, Requests, and Users Passing Control and Date between Pages – Sharing Session and Application Data – Memory Usage Considerations.


UNIT VIII: Database Access: Database Programming using JDBC, Studying Javax.sql.* package,Accessing a Database from a JSP Page, Application – Specific Database Actions,Deploying JAVA Beans in a JSP Page, Introduction to struts framework.

Text Books:

1. Web Programming, building internet applications, Chris Bates 2nd edition, WILEY Dreamtech (UNIT s 1,2 ,3)

2. The complete Reference Java 2 Fifth Edition by Patrick Naughton and Herbert Schildt. TMH (Chapters: 19, 20, 21, 22, 25, 27) (UNIT 4)

3. Java Server Pages –Hans Bergsten, SPD O’Reilly (UNITs 5,6,7,8)

Reference Books:

1. Internet and World Wide Web – How to program by Dietel and Nieto PHI/Pearson Education Asia.

2. Jakarta Struts Cookbook , Bill Siggelkow, S P D O’Reilly for chap 8.

3. Murach’s beginning JAVA JDK 5, Murach, SPD

4. An Introduction to web Design and Programming –Wang-Thomson

5. Web Applications Technologies Concepts-Knuckles,John Wiley

6. Programming world wide web-Sebesta,Pearson

7. Building Web Applications-NIIT,PHI

8. Web Warrior Guide to Web Programmming-Bai/Ekedaw-Thomas

9. Beginning Web Programming-Jon Duckett WROX.

10. Java Server Pages, Pekowsky, Pearson.

11. Java Server Pages by Hans Bergstan. (Units 5, 6, 7, 8).
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