Browsing Department of Computer Science and Engineering by Author "Das, Gautam"

Now showing items 1-20 of 29

    • ADWIRE: ADD-ON FOR WEB ITEM REVIEW SYSTEM 

      Kannapalli, Rajeshkumar Ganesh; 0000-0002-9508-4504 (2016-05-16)
      Past few decades have seen a widespread use and popularity of online review sites such as Yelp, TripAdvisor, etc. As many users depend upon reviews before deciding upon a product, businesses of all types are motivated to ...

    • Algorithms For Building Compact Representatives And Processing Ranking Queries 

      Asudeh Naee, Abolfazl; 0000-0002-5251-6186 (2017-10-25)
      Ranked retrieval model has rapidly replaced the traditional Boolean retrieval model as the de facto way for query processing when a large portion of (big) data matches a given query. Returning all the query results in ...

    • Algorithms for Exploratory Queries over Web Database 

      Rahman, Md Farhadur (2019-02-06)
      In recent years we have seen an increase in the popularity of many web applications. The functionality of these applications range from allowing users to interact using online social network, to assist users in their ...

    • Anytime Top-k Queries On Exact And Fuzzy Data 

      Chaudhari, Bhushan P (Computer Science & Engineering, 2007-08-23)
      Top-k queries on large multi-attribute data sets are fundamental operations in information retrieval and ranking applications. In this thesis, we initiate research on the anytime behavior of top-k algorithms on exact and ...

    • Approximate Query Processing Using Deep Learning and Database Techniques 

      Hasan, Shohedul; 0000-0002-1610-3843 (2022-12-15)
      Data is generated at an unprecedented rate surpassing our ability to analyze them. In real applications, it is often impractical to find an exact answer by traversing the entire data. As a result, Approximate Query ...

    • ApproxML: Efficient Approximate Ad-Hoc ML Models Through Materialization and Reuse 

      Ghaderi, Faezeh; 0000-0002-4275-5247 (2019-12-10)
      Machine Learning (ML) has become an essential tool in answering complex predictive analytic queries. Model building for large scale datasets is one of the most time-consuming parts of the data science pipeline. Often data ...

    • Attributes Selection And Package Design To Maximize Visibility Of Objects 

      Miah, Md Zahiduzzaman (Computer Science & Engineering, 2010-03-03)
      In recent years, there has been significant interest in the development of ranking functions and efficient top-k retrieval algorithms to help users in ad-hoc search and retrieval in databases (e.g., buyers searching for ...

    • COMPACT REPRESENTATIVES OF DATABASES AND RESPONSIBLE DATA MANAGEMENT 

      Shetiya, Suraj; 0000-0001-9166-2365 (2023-08-08)
      With the advent of advanced computational models, we are being constantly judged by AI systems, complex algorithmic systems based on data that has been collected about us. These analysis are critical as they span many wide ...

    • Crowd Data Analytics and Optimization 

      Rahman, Habibur; 0000-0003-0296-8851 (2017-05-05)
      Crowdsourcing can be defined as outsourcing with crowd, where crowd refers to the online workers who are willing to complete simple tasks for small monetary compensation. The overwhelming reach of internet has enabled us ...

    • Data Analytics Over Hidden Databases 

      Dasgupta, Arjun (Computer Science & Engineering, 2010-11-01)
      Web based access to databases have become a popular method of datadelivery. A multitude of websites provides access to their proprietary datathrough web forms. In order to view this data, customers use the web forminterface ...

    • Distinct Value Estimation By Sampling On Unstructured Peer To Peer Networks 

      Joseph, Zubin Matthew (Computer Science & Engineering, 2008-04-22)
      Peer-to-Peer networks have become very popular on the Internet, with millions of peers all over the world sharing large volumes of data. The sheer scale of these networks has made it difficult to gather statistics that ...

    • Dynacet: A Minimum-effort Driven Dynamic Faceted Search System Over Structured Databases 

      Wang, Haidong (Computer Science & Engineering, 2009-09-16)
      In this thesis, we propose minimum-effort driven navigational techniques for enterprise database systems based on the faceted search paradigm. Our proposed techniques dynamically suggest facets for drilling down into the ...

    • Efficient Algorithms and Human-in-the-loop Approaches for Attribute Design and Selection 

      Salam, Md Abdus (2022-04-14)
      Feature engineering and feature selection are two important aspects of data science pipeline. Due to the advancement of data collection techniques in recent years, huge amount of data is becoming available in different ...

    • Efficient Construction and Explanation of Machine Learning Models through Database Techniques 

      Hasani, Sona (2020-08-19)
      Machine learning (ML) has been widely adopted in the last few years and it has had an undeniable impact on the ways many organizations make decisions. While great advances have been made in developing new ML algorithms and ...

    • Efficient Exploration Techniques On Large Databases 

      Basu Roy, Senjuti (Computer Science & Engineering, 2011-07-14)
      Search, retrieval, and exploration of information have become some of the most intense and principal research challenges in many enterprize and e-commerce applications off late. The mainstay of this dissertation is to ...

    • Enabling Exploratory Mining Over Hidden Databases 

      Thirumuruganathan, Saravanan
      Almost all popular websites (such as Amazon, EBay, microblogs such as Twitter, Instagram, collaborative content sites such as IMDB, Yelp etc) are powered internally by large data repositories. We designate them as hidden ...

    • ENABLING THIRD PARTY SERVICES OVER DEEP WEB DATABASES AND LOCATION BASED SERVICES 

      Durairaj Gunasekaran, Yeshwanth (2018-05-08)
      Deep web databases are pillars of today’s internet services hidden behind HTML forms and Top-K search interfaces. While Top-K search interfaces provide a good way to retrieve information, it still lacks in addressing the ...

    • Exploratory Data Analysis over Online Community Networks 

      Nazi, Azade (2016-12-01)
      An online community network links entities (e.g., users, products) with various relationships (e.g., friendship, co-purchase) and make such information available for access through a web interface. There are numerous such ...

    • Exploratory Mining Of Collaborative Social Content 

      Das, Mahashweta (Computer Science & Engineering, 2014-03-12)
      The widespread use and growing popularity of online collaborative content sites (e.g., Yelp, Amazon, IMDB) has created rich resources for consumers to consult in order to make purchasing decisions on various items such as ...

    • Faster Sampling Over Theoritical And Online Social Networks 

      Aduri, Ramakrishna
      Online social networks have become very popular recently and are used bymillions of users. Researchers increasingly want to leverage the rich variety ofinformation available. However, social networks often feature a web ...