Browsing Department of Computer Science and Engineering by Author "Elmasri, Ramez"
Now showing items 21-34 of 34
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Quantitative Analysis of Scalable NoSQL Databases
Swaminathan, Surya Narayanan; 0000-0003-2507-2740 (2015-12-15)NoSQL databases are rapidly becoming the customary data platform for big data applications. These databases are emerging as a gateway for more alternative approaches outside traditional relational databases and are ... -
Querying Microarray Databases
Raja, Zoe Alexandra (Computer Science & Engineering, 2007-08-23)Microarray technology has rapidly taken a key position among bioinformatics research tools. After the completion of the Human Genome Project, microarray databases have become particularly important to the management and ... -
Road map generation and feature extraction algorithms from GPS trajectories and Trajectories Data warehousing
Alsahfi, Tariq; 0000-0003-4299-1626 (2020-11-05)Advanced technologies in location acquisition allow us to track the movement of moving objects (people, planes, vehicles, animals, ships, ..) in geographical space. These technologies generate a vast amount of trajectory ... -
SCALABLE CONVERSION OF TEXTUAL UNSTRUCTURED DATA TO NoSQL GRAPH REPRESENTATION USING BERKELEY DB KEY-VALUE STORE FOR EFFICIENT QUERYING
Varghese, Jasmine Manoj; 0000-0001-6654-4551 (2017-12-13)Graph database is a popular choice for representing data with relationships. It facilitates easy modifications to the relational information without the need for structural redefinition, as in case of relational databases. ... -
SPATIAL SIMILARITY MEASURES WITH APPLICATIONS TO MAP INTEGRATION AND IMPROVING ACCURACY OF MAP DATA SETS
Almotairi, Mousa Alhajlah; 0000-0003-4799-6004 (2019-12-03)These days we live in a digital era where most societies rely on applications that depend on digital data. One popular type of digital data that is the basis many of applications is spatial data. Road network maps are one ... -
Spatio-Temporal Patterns of GPS Trajectories Using Association Rule Mining
Sharma, Vivek Kumar (2016-05-13)The availability of location-tracking devices such as GPS, Cellular Networks and other devices provides the facility to log a person or device locations automatically. This creates spatio-temporal datasets of user's movement ... -
Special Topics in Natural Languague Processing: MWE Indentification, Opinion Question Answering and Summarization
Ashok, Aishwarya; 0000-0001-9188-4048 (2020-05-22)Natural Language Processing (NLP) is the use of computers for the analysis of text. The approaches used to solve problems in NLP has transitioned from human tagging to statistical methods and currently many of the approaches ... -
Structure Based XML Indexing
Manandhar, Niroj (Computer Science & Engineering, 2007-08-23)The increase in the usage and popularity of semi-structured data has received considerable attention, and a lot of research is going on for the efficient retrieval and storage of semi-structured data. A popular model and ... -
Techniques for Spatio-temporal Analysis of Trajectory Data
Tripathi, Praveen Kumar; 0000-0003-1695-467X (2016-09-09)The goal of this thesis is to develop novel techniques for the analysis of spatio-temporal trajectory data. Recent advances in tracking devices such as Global Positioning System (GPS) and mobile phones have resulted in an ... -
TOWARDS BETTER USABILITY OF QUERY SYSTEMS FOR MASSIVE ULTRA-HETEROGENEOUS GRAPHS: NOVEL APPROACHES OF QUERY FORMULATION AND QUERY SPECIFICATION
Jayaram, Nandish (2016-05-05)There is a pressing need to tackle the usability challenges in querying massive, ultraheterogeneous entity graphs which use thousands of node and edge types in recording millions to billions of entities (persons, products, ... -
Using antipatterns to improve database code fragments, and utilizing knowledge graphs and NLP patterns to extract standardized data element names
Alshemaimri, Bader (2022-04-06)Database code fragments exist in software systems by using SQL as the stan- dard language for relational databases. Traditionally, developers bind databases as backends to software systems for supporting user applications. ... -
Using ChebConv and B-Spline GNN models for Solving Unit Commitment and Economic Dispatch in a day ahead Energy Trading Market based on ERCOT Nodal Model
Kumthekar, Yashodhan; 0000-0002-4582-8800 (2020-05-22)Spectral Convolutions and B-Spline Graph Neural Network techniques have been used in past to learn embeddings in various complex, multidimensional structured knowledge graphs like genetics, social networks, geometric shapes ... -
Using Graph Convolutional Network and Message Passing Neural Networks for Solving Unit Commitment and Economic Dispatch in a day ahead Energy Trading Market based on ERCOT Nodal Model.
Gaikwad, Pradnya S; 0000-0003-1363-3715 (2020-05-22)Various machine learning applications will pre-process graphical representations into a vector of real values which in turn loses information regarding graph structure. Graph Neural Networks (GNNs) are a combination of an ... -
Video-based Face Recognition using Deep Learning for Single Sample Per Person (SSPP) Surveillance Applications
Parchami, Mostafa; 0000-0003-3106-3808Face Recognition (FR) is the task of identifying a person based on images of the face of the identity. Systems for video-based face recognition in video surveillance seek to recognize individuals of interest in real-time ...