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Comprehensive Data-Driven Solutions for Auction Portals, Alumni Networks, and Multimedia Databases

Explore innovative projects focusing on system designs for auction portals, resume services, and tourism information systems. Implement incremental bidding for auction items, support alumni networks with social features, and utilize web-based data access for course management. Harness the power of GIS for spatial databases, multimedia content retrieval, and data warehousing to create efficient and secure database applications. These diverse projects showcase advanced techniques in data integration, security measures, and dynamic data retrieval, catering to various domains.

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Comprehensive Data-Driven Solutions for Auction Portals, Alumni Networks, and Multimedia Databases

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  1. DBMS Lab Projects

  2. Information System Design

  3. Auction Portal • Items • Bidders • Bid • Managers • Lowest Bid • Incremental Bidding

  4. Resume Posting Service • Resume • Posts • Employers • Managers • Matching

  5. Tourism Information System • Data Integration • Location Aware Services • Map Based Interface • Travel Information

  6. Web Based Dictionary • Data Organization • Graph Structure

  7. Financial Portfolio Managers • Users • Projections • Web based data access

  8. Automatic Time Table and Course Management System • Courses • Class rooms • Hard constraints • Soft Constraints

  9. Social Network of IIT Alumni • Friends • Communities • Blogs • Events

  10. Web 2.0 Mashup is a web application that combines data from more than one source into a single integrated tool via a local database; an example is the use of cartographic data from Google Maps to add location information to real-estate data from Craigslist, thereby creating a new and distinct web service that was not originally provided by either source.

  11. Domain Specific Databases

  12. Spatial Database • GIS • Spatio-temporal data • Implement spatial queries and schemas

  13. Multimedia Databases • Content Based Retrieval • Geometric Data Structures • Music Databases

  14. Streaming Data • Network Monitoring • Streaming Queries

  15. XML Databases • Query processor for restricted XQuery • XML to RDBMS Converter • XML database design • Biological data • Financial data

  16. Sequence Databases • Proteins, Gene sequences • Motif, structure finding • http://rdp.cme.msu.edu/

  17. OODB • Build a gaming framework using MyOODB

  18. Fuzzy Databases • FSQL

  19. Text Databases • Indexing – Zipfs law • Search

  20. Data warehousing • Datacube materialization • Warehouse design • OLAP queries

  21. Data Mining • http://mill.ucsd.edu/

  22. Database Security • Checking a SQL query for SQL injection vulnerability • statement := "SELECT * FROM users WHERE name = '" + userName + "';" • setting the "userName" variable as a' or 't'='t , renders • SELECT * FROM users WHERE name = 'a' OR 't'='t'; • If this code were to be used in an authentication procedure then this example could be used to force the selection of a valid username because the evaluation of 't'='t' is always true.

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