Advance Filtering Procedures

Advance filtering Procedures refers to methods and tools that are used to refine, sort or extract data from a dataset or large set of data. These features are commonly found in data analysis, databases , search engines and other application where user wants to sort the data according to their specification.

  • Multicriteria filtering: User can apply multiple criteria or conditions simultaneously to filter data.
  • Boolean Operators: Advance filtering often allows users to use Boolean operators like AND, OR, NOT to create advance filtering logic.
  • Dynamic Filters: Dynamic filters results vary in real time according to the user specification . This especially used to more interactive data exploration and visualization.
  • Faceted Search: Faceted Search filters are commonly used in ecommerce, social media where users are provided with set of filters use to get the desired result.
  • Time Based Filters: Time base filters are used to filter the data based on the time frames.

Information Search and Visualization in HCI

Information search and visualization are two important components of the data management process and extract meaningful insights. Effective Information Search and visualization go simultaneously, as searching for relevant data is the first step and visualization helps in understanding the results in a meaningful way.

Important Topics for Information Search and Visualization

  • Database Query
  • Five Phase frameworks of the User Interface for Textual Search
  • Multimedia Document Searches
  • Information Visualization
  • Advance Filtering Procedures
  • Hypertext and Hypermedia
  • Object Action Interface Model for Website Design

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