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Spatio-Temporal Patterns of GPS Trajectories Using Association Rule Mining
(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 ...
TOWARD AUTOMATED FACT MONITORING AND CHECKING
(2016-08-12)
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 ...
Predicting a Quarterback's Fantasy Football Point Output For Daily Fantasy Sports Using Statistical Models
(2017-04-24)
In the new age of daily fantasy sports (DFS), fantasy football has become an enormous revenue generator for DFS sites, such as DraftKings and FanDuel. Both companies are valued over \$1 billion. However, previous analysis ...
COMPARISON OF MACHINE LEARNING ALGORITHMS IN SUGGESTING CANDIDATE EDGES TO CONSTRUCT A QUERY ON HETEROGENEOUS GRAPHS
(2016-05-11)
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 ...
EXTRACTING CLINICAL EVENT SEQUENCE BY USING ASSOCIATION RULE MINING TO PREDICT CLINICAL EVENTS FROM HEALTH RECORDS
(2021-12-13)
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 ...
ASSEMBLY-SCALE AND WHOLE-BUILDING ENERGY PERFORMANCE ANALYSIS OF ULTRA-HIGH-PERFORMANCE FIBER-REINFORCED CONCRETE (UHP-FRC) FAÇADE SYSTEMS
(2019-12-04)
The majority of building energy consumption is used to heat and cool enclosed spaces. An innovative ultra-high-performance fiber-reinforced concrete (UHP-FRC) façade system could potentially reduce this energy consumption ...
Speaker Identification in Live Events using Twitter
(2015-12-09)
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 ...
HoMLN-SD: Substructure Discovery In Homogeneous Multilayer Networks
(2023-12-15)
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 ...