Our paper, Machine Intelligence: The Neuroscience of Chordal Semantics & its Association with Emotion Constructs and Social Demographics, has been accepted for presentation at the 22nd International Symposium on Methodologies for Intelligent Systems. See conference here.
Abstract. We present an extension to knowledge discovery in Music Information Retrieval (MIR) databases and the emotional indices associated with i) various scalar theory, and ii) correlative behavioral demographics. Certain societal demographics are set in their ways as to how they dress, behave in society, solve problems and deal with anger and other emotional states. It is also well documented that particular musical scales evoke particular states of emotion and personalities of their own. This paper extends the work that Knowledge Discovery in Databases (KDD) and Rough Set Theory has opened in terms of mathematically linking music scalar theory to emotions. We now, extend the paradigm by associating emotions, based from music, to societal demographics and how strong these relationships to music are as to a ect, if at all, how one may dress, behave in society, solve problems and deal with anger and other emotional states
Artificial Intelligence. A broader class which includes Machine Learning. It’s a broad term referring to machines that can procure up solutions to problems on their own. Cannot reprogram itself. Uses Statistics.
Machine learning :: A machine's ability to predict events, know if those predictions were correct or not, and reprogram itself, without human intervention, to never make that same mistake again. Mimics humans by using Rough Set Theory, Fuzzy Logic and KDD.
Course introduces general database concepts as well as database system technology. The course covers ER and R data models, R-algebra, SQL, data storage and indexing, query optimization, database design and security. THe course includes hands-on SQL, Rapidminer, WEKA, MAMP and PhP myAdminPrer., CS 3300; Engineering students only. Meets with CS 5420.
