CS273 - Data And Knowledge Bases home | schedule 


[Oct 4 2011] Our classroom is changed to Phelps 2510 (permanently)

[Sept 27 2011] Lecture Slides.

[Sept 22 2011] The first class.

Abstract: We will cover a broad range of topics related to information search and knowledge discovery from relational data, text, and beyond.  The focus is on the study of relational and post-relational data models and their query languages and systems.  It will also introduce basic information retrieval and data mining concepts, principles and algorithms, including language model, text search,  association analysis, sequential pattern analysis, classification, and clustering.

Prerequisites: basic understanding of relational databases,  statistics, and know how to program.

Each student is expected to complete three homework assignments, one project, and a written final exam.

Enrollment Code: 09407,  Instructor: Prof. Xifeng Yan , Email: xyan at cs.ucsb.edu

Time: Tuesday/Thursday 3:00-5:00pm

Location: PHELP 1401   Office Hour:  Tuesday 5-6pm (HFH 1111)

Grading: Your grade will be derived from homework (45%), project (15%), and a final exam (40%).

Text Books (not required, optional): (1) Database Management Systems, 3rd Edition, R. Ramakrishnan and J. Gehrke, McGraw-Hill, 2003  (2) Data Mining: Concepts & Techniques by Han, Morgan Kaufmann; 3rd Edition, 2011 (3) Introduction to Information Retrieval, 1st Edition, Christopher D. Manning, Prabhakar Raghavan and Hinrich Schutze. Cambridge University Press; 2008


1. Relational  and Post-Relational Data Model/Query Language  (3 weeks)

2. Language Model and Information Retrieval (3 weeks)

3. Data Mining Foundations (4 weeks)