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Homln-Sd: Substructure Discovery In Homogeneous Multilayer Networks, Arshdeep Singh
Homln-Sd: Substructure Discovery In Homogeneous Multilayer Networks, Arshdeep Singh
Computer Science and Engineering Theses
Substructure discovery is a process in data analysis and data mining that involves identifying and extracting meaningful patterns, structures, or components within a larger dataset. These substructures can be of various types, such as frequent patterns, motifs, or any other relevant features within the data. The growth of the internet and the proliferation of mobile devices have led to the generation of enormous amounts of data. Companies like Facebook and Twitter can generate large datasets from user interactions on their websites, such as connections between users and user generated content. Moreover, advances in processing power and storage capacity have made …
Extracting Clinical Event Sequence By Using Association Rule Mining To Predict Clinical Events From Health Records, Aashara Shrestha
Extracting Clinical Event Sequence By Using Association Rule Mining To Predict Clinical Events From Health Records, Aashara Shrestha
Computer Science and Engineering Dissertations
Data mining is the process of extracting useful information from large amounts of data. Data mining has been around for a long time, and there are many multiple methods of performing data mining. However, the abundance of data that has become available in the last decade has made it possible to mine through this data to uncover important patterns and sequences. The relationship between variables and the way in which they can lead to a specific outcome is an interesting area of research. Today's healthcare industry faces a number of challenges. Providers must reduce costs, improve transparency, and improve the …
Toward Automated Fact Monitoring And Checking, Naeemul Hassan
Toward Automated Fact Monitoring And Checking, Naeemul Hassan
Computer Science and Engineering Dissertations
Public figures such as politicians make claims about "facts" all the time. Oftentimes there are false, exaggerated and misleading claims on important topics, due to careless mistakes and even deliberate manipulation of information. With technology and modern day media helping spread information to mass audiences through all types of channels, there is a pressing need for checking the veracity of factual claims important to the public. Journalists and citizens spend a good amount of time doing that. More and more dedicated platforms and institutes are being created for fact-checking. This nascent genre of investigative reporting has become a basic feature …
Comparison Of Machine Learning Algorithms In Suggesting Candidate Edges To Construct A Query On Heterogeneous Graphs, Rohit Ravi Kumar Bhoopalam
Comparison Of Machine Learning Algorithms In Suggesting Candidate Edges To Construct A Query On Heterogeneous Graphs, Rohit Ravi Kumar Bhoopalam
Computer Science and Engineering Theses
Querying graph data can be difficult as it requires the user to have knowledge of the underlying schema and the query language. Visual query builders allow users to formulate the intended query by drawing nodes and edges of the query graph, which can be translated into a database query. Visual query builders help users formulate the query without requiring the user to have knowledge of the query language and the underlying schema. To the best of our knowledge, none of the currently available visual query builders suggest users what nodes/edges to include into their query graph. We provide suggestions to …
Spatio-Temporal Patterns Of Gps Trajectories Using Association Rule Mining, Vivek Kumar Sharma
Spatio-Temporal Patterns Of Gps Trajectories Using Association Rule Mining, Vivek Kumar Sharma
Computer Science and Engineering Theses
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 with features like latitude,longitude of a particular location on a specific day and time. With the help of these features different patterns of user movement can be collected,queues and analyzed.In this research work, we are focused on user's movement patterns and frequent movements of users on a particular place,day or time interval. To achieve this we used Association Rule mining concept based on Apriori algorithm to find interesting movement …
Speaker Identification In Live Events Using Twitter, Minumol Joseph
Speaker Identification In Live Events Using Twitter, Minumol Joseph
Computer Science and Engineering Theses
The prevalence of social media has given rise to a new research area. Data from social media is now being used in research to gather deeper insights into many different fields. Twitter is one of the most popular microblogging websites. Users express themselves on a variety of different topics in 140 characters or less. Oftentimes, users “tweet” about issues and subjects that are gaining in popularity, a great example being politics. Any development in politics frequently results in a tweet of some form. The research which follows focuses on identifying a speaker’s name at a live event by collecting and …