| CS273 - Data And Knowledge Bases | home | schedule |
Announcements
[Oct 2 2014] 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 algorithms. 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 one homework assignment, one project, and one final exam.
Enrollment Code: 50245, Instructor: Prof. Xifeng Yan , Email: xyan at cs.ucsb.edu
Time: Tuesday/Thursday 1:00-2:50pm
Location: PHELP 3526 Office Hour: Tuesday 3-4pm (HFH 1111)
TA Office Hour: Yang Li: Wed 3pm-4pm. TA office.
Text Books (not required)
Lecture notes (limited access)
1. Data Mining/Machine Learning Foundations (3 weeks)
2. Knowledge Base, Language Model and Information Retrieval (3 weeks)
3. Relational and Post-Relational Data Model/Query Language (3 weeks)