1. Smart Web Search Agents Data Search Engines >> Information Search Agents - Traditional searching on the Web is done using one of the following three: - Directories (Yahoo, Lycos, etc) - Search Engines (AltaVista, NorthernLight, etc) - Metasearch Engines (MetaCrawler, SavvySearch, AskJeeves, etc) All of these involve keyword searches; Drawback: not easily personalized, too many results (although many give relevancy factors)

2. - local cache databases (containing frequently asked queries/results; possibly updated periodically - nightly!) - local cache information base (containing mined information and discovered knowledge for efficient personal use) - domain-based agents (e.g. Job Search; Sports-NBA Stats, Bibliography-Digital Libraries)

3. Intelligent Tools for E-Business Computational Intelligence, Neural Networks, Fuzzy Logic, Genetic Algorithms, Hybrid Systems Learning Algorithms, Heuristic Searching Data Analysis and Modeling, Data Fusion and Mining, Knowledge Discovery Prediction & Time Series Analysis Information Retrieval, Intelligent User Interface Intelligent Agents, Distributed IA and Multi- Agents, Cooperative Knowledge-based Systems

4. Enhancing E-Business Process Through Data Mining Quality of discovered knowledge –Having right data –Having appropriate data mining tools!!! Traditional Data Mining Tools –Simple query and reporting –Visualization driven data exploration tools, OLAP –Discovery process is user driven

5. Intelligent Data Mining Tools Automate the process of discovering patterns/knowledge in data Require hypothesis, exploration Derive business knowledge (patterns) from data Combine business knowledge of users with results of discovery algorithms

6. Intelligent Information Agents The Data Mining Problem: –Clustering/ Classification –Association –Sequencing Viewed as an Optimization Problem Tools: Genetic Algorithms

7. Fuzzy Rules Discovering Rules discovering : The discovery of associations between business events, i.e. which items are purchased together In order to do flexible querying and intelligent searching, fuzzy query is developed to uncover potential valuable knowledge Fuzzy Query uses fuzzy terms like tall, small, and near to define linguistic concepts and formulate a query Automated search for fuzzy Rules is carried out by the discovery of fuzzy clusters or segmentation in data