look at the intersection of geography and crime, the current chapter offers a new conceptual definition of predictive policing, an overview of some of the most commonly used methods to identify crime "hot spots" retrospectively, prospective hot spot analysis, and predictive policing analytics. Police...
1. Predictive data analytics Predictive analytics may be the most used type of data analytics. Businesses use predictive analytics to identify trends, correlations, and causation. The category can be further broken down into predictive modeling and statistical modeling, which go hand in hand. For ...
1. Predictive data analytics Predictive analytics may be the most used type of data analytics. Businesses use predictive analytics to identify trends, correlations, and causation. The category can be further broken down into predictive modeling and statistical modeling, which go hand in hand. For ...
Social media is now being used to model mental well-being, and for understanding health outcomes. Computer scientists are now using quantitative techniques to predict the presence of specific mental disorders and symptomatology, such as depression, suicidality, and anxiety. This research promises great ...
In a novel application of data-driven analytics to the assessment of unconventional oil and gas resources, we present a Transfer Learning framework based on a combination of unsupervised and supervised machine learning techniques on a relatively large dataset from one of the main unconventional plays ...
Our solution, which is the winner of two of the three tasks of the ECML/PKDD 2014 Predictive Analytics Challenge, aims at predicting user engagement metrics, such as number of visits and social network engagement, that a web page will achieve 48 hours after its upload, using only information...
Sıla Ermut is an industry analyst at AIMultiple focused on email marketing and sales videos. She previously worked as a recruiter in project management and consulting firms. Sıla holds a Master of Science degree in Social Psychology and a Bachelor of Arts degree in International Relations...
2. A normative perspective of Big Data: challenges and analytical methods 3. Research methodology 4. Big Data and Big Data Analytics: findings and analysis 5. Conclusions Appendix A. ReferencesShow full outline Cited by (1447) Figures (11) Show 5 more figures Tables (1) TableJournal...
The present study examines the role of feature selection methods in optimizing machine learning algorithms for predicting heart disease. The Cleveland Heart disease dataset with sixteen feature selection techniques in three categories of filter, wrapper,
Hootsuite is a social media management tool through and through. It offers post-scheduling and link-building alongside a suite of social listening abilities. However, as it’s primarily a social listening tool, it doesn’t have the analytics capabilities of a full-scale brand monitoring tool –...