Data Mining Approaches for IP Address Clustering

2018 ◽  
pp. 266-275 ◽  
Author(s):  
Madeleine Victoria Kongshavn ◽  
Anis Yazidi ◽  
Hårek Haugerud ◽  
Hugo Hammer
Keyword(s):  
Data Mining ◽  
Ip Address

Architecture of Cloud-Based Crime Spatial Data Mining Platform

2015 ◽  
Vol 713-715 ◽  
pp. 1644-1648
Author(s):  
Wei Ping Yang ◽  
Dan Qing Duan
Keyword(s):  
Data Mining ◽  
Spatial Data ◽  
Spatial Data Mining ◽  
Work Flow ◽  
Surveillance Video ◽  
Virtual Cluster ◽  
Ip Address ◽  
Platform Architecture ◽  
Construction Strategy ◽  
Mobile Phone Communication

. Crime Spatial Data Mining Platform is used for Police, it collect the information of GIS, mobile phone communication records, surveillance video, IP address, etc. and analysis the information in order to provide crime analysis, crime investigation and crime tracking. This paper presents the architecture of crime spatial data mining platform based on cloud computing, describes the work flow of the cloud platform, designs the virtualization platform architecture, and puts forward the flexible virtual cluster construction strategy. The test shows that it is feasible and effective.

A Real and Accurate Fake Product Detection System and Generate Original Reviews Using Data Mining Mechanism

2020 ◽  
Vol 17 (12) ◽  
pp. 5464-5468
Author(s):  
Ch. V. Bhargavi ◽  
G. Mani ◽  
G. Jyothi ◽  
K. Venkat Rao ◽  
E. Laxmi Lydia
Keyword(s):  
Data Mining ◽  
Social Organization ◽  
Detection System ◽  
Ip Address ◽  
Svm Classification ◽  
The People ◽  
Using Data ◽  
Fake Reviews ◽  
Technical People ◽  
Good Rating

Most of the people requires genuine information about the online product. Before spending their economy on particular product can analyze the various reviews in the website. In this scenario, they did not identify whether the product may be fake or genuine. In general, some reports in the websites are good, company technical people itself add these for making the product famous. These people belong to media and social organization teams, they give reviews with a good rating by their own firm. Online purchasers did not identify the fake product because of this falsification in the reviews of the website. In this research,the SVM classification mechanism has been used for detect the fake reviews by using IP address. This implementation helpful for users find out the correct review of online product. In this accuracy is improved by 98.79%, F1-Score increases by 10%.

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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