scholarly journals Toward improved branch prediction through data mining.

2009 ◽  
Author(s):  
K. Scott Hemmert ◽  
D. Eric Johnson
Keyword(s):  
Data Mining ◽  
Branch Prediction

scholarly journals Autistic Savants and Mathematical sequence prediction.

2021 ◽  
Author(s):  
Anil Kumar Bheemaiah
Keyword(s):  
Data Mining ◽  
Mental Arithmetic ◽  
Branch Prediction ◽  
Sequence Prediction ◽  
The Third ◽  
Prediction Algorithms ◽  
Mental Exercise

In the third paper in a series of papers on autism savants, detection of giftedness and the use of mental arithmetic as an intervention in autism and a practice of metal wellness, we describe the use of python scripts towards primality detection exercises, of both small primes and arbitrary sized numbers and several other exercises including sequence prediction, inspired by branch prediction architectures. Sequence prediction as a mental exercise, is used as infotainment and as a wellness exercise, and a possible intervention in ASD. Several prediction mechanisms inspired by data and prediction algorithms are described. Keywords: ASD, Autism Savants, Education For The Gifted, primality detection, data mining, basket of associations, sequences, branch prediction, plotting graphs.

Calculators and the slack channel as a Math-Code Gym

2020 ◽  
Author(s):  
Anil Kumar Bheemaiah
Keyword(s):  
Data Mining ◽  
Number Theory ◽  
Prime Number ◽  
Mental Arithmetic ◽  
Branch Prediction ◽  
Sequence Prediction

The Numworks/TI-84 python calculator, which encapsulates, functionality ranging from a python shell, to built in and customisable support for statistics, functions, regression, sequences and data mining, is directly amenable to a functionality as a math and code gym towards mental arithmetic and several number theory based therapies, such as prime number therapy. Similar functionality is achieved on the slack channel, with the Wolfram Alpha API.In this paper we describe the use of python scripts towards primality detection exercises, of both small primes and arbitrary sized numbers and several other exercises including sequence prediction, inspired by branch prediction architectures, plotting functions and exercises in data mining, in spotting patterns and forming a basket of associations.Keywords: Numworks, Math and code gym, primality detection, data mining, basket of associations, sequences, branch prediction, plotting graphs.

Data Mining and Machine Learning

2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  
Machine Learning ◽  
Data Mining

Heart Rate Variability, Emotions, and Music

2010 ◽  
Vol 24 (2) ◽  
pp. 112-119 ◽  
Author(s):  
F. Riganello ◽  
A. Candelieri ◽  
M. Quintieri ◽  
G. Dolce
Keyword(s):  
Data Mining ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Vegetative State ◽  
Low Frequency ◽  
Emotional Reactions ◽  
Heart Beat ◽  
Healthy Controls ◽  
Frequency Spectra ◽  
Emotional Value

The purpose of the study was to identify significant changes in heart rate variability (an emerging descriptor of emotional conditions; HRV) concomitant to complex auditory stimuli with emotional value (music). In healthy controls, traumatic brain injured (TBI) patients, and subjects in the vegetative state (VS) the heart beat was continuously recorded while the subjects were passively listening to each of four music samples of different authorship. The heart rate (parametric and nonparametric) frequency spectra were computed and the spectra descriptors were processed by data-mining procedures. Data-mining sorted the nu_lf (normalized parameter unit of the spectrum low frequency range) as the significant descriptor by which the healthy controls, TBI patients, and VS subjects’ HRV responses to music could be clustered in classes matching those defined by the controls and TBI patients’ subjective reports. These findings promote the potential for HRV to reflect complex emotional stimuli and suggest that residual emotional reactions continue to occur in VS. HRV descriptors and data-mining appear applicable in brain function research in the absence of consciousness.

Challenges and Cloud Computing Environments Towards Big Data

2014 ◽  
pp. 203-208
Author(s):  
Kiran Kumar S V N Madupu
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Technology Development ◽  
Computing Environments ◽  
Modern Technologies

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.

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