Notes

Slide Show

Outline

1	Database Infrastructure to Support Knowledge Management in Physicochemical Data - Application in NIST/TRC SOURCE Data System
2	Evolution of Database Technology
3	Hot Topic – Data Mining (DM), Knowledge Discovery in Databases (KDD) and Knowledge Management (KM)
4	What is KDD, DM and KM?
5	Knowledge Discovery Process
6	Confluence of Statistics, AI and DBMS
7	NIST/TRC SOURCE Data System
8	Challenges in Massive-Scale Data Collection and Data Entry
9	Challenges in Assurance of Data Integrity
10	Challenges in Data and Models Evaluation
11	Domain Knowledge
12	General Process of knowledge Management
13	Three-Tier Infrastructure for Supporting Knowledge Management
14	Relational Schema
15	Data Analysis Schema
16	Knowledge Schema
17	Knowledge Integration
18	Data Mining and Knowledge Discovery (1) - Time factor on the average deviation of critical data
19	Data Mining and Knowledge Discovery (2) - Author factor on the average deviation of critical data
20	Intelligent-Guided Data Entry
21	Automation of Anomaly Detection
22	Systematic and Integrated Process