Data structures, algorithms, and parsing for crystallography
-
Updated
Jan 16, 2025 - Python
Data structures, algorithms, and parsing for crystallography
Python script designed to simplify the process of submitting URLs to Google's Indexing API for faster and more efficient website indexing. This tool is particularly useful for web developers, SEO professionals, and website owners who want to ensure that their website's content is quickly discovered and updated in Google's search results.
SPIMI Ranked Retrieval Implementation and API
Research in the field of Information Retrieval and Web Analytics (IRWA). The project involves the development of a search engine using Python 3, implementing various indexing and ranking algorithms.
A pipeline to index and search through quiz questions.
Research project to enable natural language interaction with Pennsieve medical database.
Python application that simulates an indexing algorithm
This is my Final Year Project at Universiti Sains Malaysia about web crawler on Drug Herb Interaction Patterns.
Databases 2 - Project 2: Single-Pass In-Memory Indexing for information search and recovery
Grid-mapped Interval Trees (G-IT) for Spatiotemporal Trajectories
a desktop search engine that allows users to perform search operations inside various file types in a given directory
Creates naive and SPIMI indexes for the Reuters 21578 corpus. Ranks results, including BM25
For DSA-Project 2k19
Library of common data structures implemented in Java.
This repository contains files and information about step 3 of Kaphta Architecture: Indexing of Extracted Information, using the R language.
Contains all homework from the course Foundations of Database Management at USC
An index simulation tool for sparse high-dimensional vector data.
Developed an image search and retrieval system based on color, feature and shape.
Building image search an engine using MATLAB & Python.
NOZ is a distributed search engine program that can efficiently partition and distribute index data, implement dynamic indexing, handle high query loads, and provide fault tolerance mechanisms to ensure reliable performance.
Add a description, image, and links to the indexing-algorithms topic page so that developers can more easily learn about it.
To associate your repository with the indexing-algorithms topic, visit your repo's landing page and select "manage topics."