Smart Web Search Agents

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

• Traditional Data Mining Tools
• Simple query and reporting
• Visualization driven data exploration tools, OLAP
• Discovery process is user driven

• Quality of discovered knowledge
• Having right data
• Having appropriate data mining tools!!!

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