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Consumer Credit Risk Analysis using Data Mining Clustering and Business Intelligence Solutions

Consumer Credit Risk Analysis using Data Mining Clustering and Business Intelligence Solutions Subhash Babu Bathala, Muthuluru Nagendra To depicted the utilization of novel information-digging procedures  ...  machine learning, computational intelligence (implying neural networks, fuzzy systems, evolutionary computing, swarm intelligence and so on), pattern recognition, data visualization, information retrieval  ... 
doi:10.35940/ijitee.e2122.039520 fatcat:no6g6x3ejfg6fbiic5ljrs5ivy

Optimized Feature Extraction based Artificial Intelligence Technique for Empirical Analysis of Stock Market Data

This research follows some basic steps to design a model for sentiment analysis from Stock market dataset and firstly data is pre-processed to remove the unwanted text.  ...  The core idea of a successful stock market forecast is to get the best results with the least amount of input data required and the least complex stock market model.  ...  Intelligence Technique for Empirical Analysis of Stock Market Data Vani Kansal, Rakesh Kumar been identified [7] .  ... 
doi:10.35940/ijitee.j8837.0881019 fatcat:x27km3maxnd3jifrhla5zu4ssy

Process Map of a Unified Data Platform for Operational Intelligence and Analysis of Power Sector

The research was important as the last few decades have seen an organic growth in the power sector data which needs a defined framework and process map for Operational Intelligence and Analysis  ...  power sector network is studied which is an ever increasing source of data.  ...  The factors, constraints and interfaces for implementing a Unified Data Platform for Operational Intelligence and Analysis of the Power Sector was studied and published in author's paper [1] .  ... 
doi:10.35940/ijitee.j9809.0881019 fatcat:urxicgop3jg23lw2bbtgwjtjai

When everything becomes intelligence: machine learning and the connected world

Aaron F. Brantly
2018 Intelligence and national security  
SIGINT, GEOINT, MASINT, OSINT, SOCINT, and CYBINT will be and are being challenged by the volume and velocity of the data being collected and analyzed.  ...  The same is not true for virtually all other forms of data sources collected for intelligence from an ever-increasing array of novel sources.  ...  volumes of data.  ... 
doi:10.1080/02684527.2018.1452555 fatcat:ldfy2wazajbkznm6ytjkd6ummu

Special Issue on Intelligent data analysis and applications & smart vehicular technology, communications and applications

Valentina Emilia Balas, Lakhmi C. Jain
2020 Journal of Intelligent & Fuzzy Systems  
It aims to attract researchers and practi-29 tioners who are working in Intelligent Data Analysis and Applications, Vehicle Technology and Commu-30 nication, the broad area of intelligent data analysis  ...  Soft Computing techniques represent an emerging 8 field covering an interdisciplinary methodological 9 framework that support the design analysis and 10 deployment of intelligent systems.  ...  It aims to attract researchers and practi-29 tioners who are working in Intelligent Data Analysis and Applications, Vehicle Technology and Commu-30 nication, the broad area of intelligent data analysis  ... 
doi:10.3233/jifs-179812 fatcat:esnocduny5btrgw6idiiel5haq

Genome-wide meta-analysis of brain volume identifies genomic loci and genes shared with intelligence

Philip R. Jansen, Mats Nagel, Kyoko Watanabe, Yongbin Wei, Jeanne E. Savage, Christiaan A. de Leeuw, Martijn P. van den Heuvel, Sophie van der Sluis, Danielle Posthuma
2020 Nature Communications  
The phenotypic correlation between human intelligence and brain volume (BV) is considerable (r ≈ 0.40), and has been shown to be due to shared genetic factors.  ...  First, we conduct a large BV GWAS meta-analysis (N = 47,316 individuals), followed by functional annotation and gene-mapping.  ...  Acknowledgements The full GWAS summary statistics from the ENIGMA GWAS meta-analysis were downloaded from  ... 
doi:10.1038/s41467-020-19378-5 pmid:33154357 fatcat:ra2il4wsfjcilgnbjbgwhpmham

Brain volume and intelligence: The moderating role of intelligence measurement quality

Gilles E. Gignac, Timothy C. Bates
2017 Intelligence  
s sample data, the corrected correlation between brain volume and intelligence in healthy adult samples was r = .31 (k = 32; N = 1758).  ...  Investigations that used 'fair', 'good', and 'excellent' measures of intelligence yielded corrected brain volume and intelligence correlations of .23 (k = 9; N = 547), .32 (k = 10; N = 646), and .39 (k  ...  Prior to the meta-analysis, the data were evaluated for outliers and influential studies.  ... 
doi:10.1016/j.intell.2017.06.004 fatcat:36lwvrhppzeyzpzrbv5o4ye3de

Big-brained people are smarter: A meta-analysis of the relationship between in vivo brain volume and intelligence

2005 Intelligence  
To address the debate, a meta-analysis of the relationship between in vivo brain volume and intelligence was conducted.  ...  For all age and sex groups, it is clear that brain volume is positively correlated with intelligence. D  ...  The first area is an examination of the brain volume and intelligence relationship at a more refined level of analysis than total brain volume.  ... 
doi:10.1016/j.intell.2004.11.005 fatcat:jfqlielzcjhj7a6vxmczd3soue

Neuroanatomical Correlates of Intelligence in Healthy Young Adults: The Role of Basal Ganglia Volume

Cosima Rhein, Christiane Mühle, Tanja Richter-Schmidinger, Panagiotis Alexopoulos, Arnd Doerfler, Johannes Kornhuber, Yong He
2014 PLoS ONE  
Our data revealed significant correlations of the caudate nucleus and pallidum volumes with figural and numeric aspects of intelligence, but not with verbal intelligence.  ...  Conclusions/Significance: The findings of our exploratory analysis indicate that figural and numeric intelligence aspects, but not verbal aspects, are strongly associated with basal ganglia volumes.  ...  For the numeric aspects of intelligence, no differences between females and males regarding their relations of volumetric and intelligence data were detected in this analysis.  ... 
doi:10.1371/journal.pone.0093623 pmid:24699871 pmcid:PMC3974758 fatcat:22qumaacive6doxankdatcu7q4

Are Bigger Brains Smarter? Evidence From a Large-Scale Preregistered Study

Gideon Nave, Wi Hoon Jung, Richard Karlsson Linnér, Joseph W. Kable, Philipp D. Koellinger
2018 Psychological Science  
in our data.  ...  We find a robust association between total brain volume and fluid intelligence (r=0.19), which is consistent with previous findings in the literature after controlling for measurement quality of intelligence  ...  Authors contributions G.N and P.D.K developed the study concept and design, performed data analysis and interpretation, and wrote the manuscript. W.J and R.K.L pre-processed the brain imaging data.  ... 
doi:10.1177/0956797618808470 pmid:30499747 fatcat:p6x5m3uo4jdopgnpcggvrmyyy4

Genetic effects on planum temporale asymmetry and their limited relevance to neurodevelopmental disorders, intelligence or educational attainment

Amaia Carrion-Castillo, Antonietta Pepe, Xiang-Zhen Kong, Simon E. Fisher, Bernard Mazoyer, Nathalie Tzourio-Mazoyer, Fabrice Crivello, Clyde Francks
2019 Cortex  
to be deleterious (rs41298373, p = 2.01 × 10-15), and a locus that affects the expression of the genes BOK and DTYMK (rs7420166, p = 7.54 × 10-10).  ...  In a dataset of unrelated subjects from the general population (UK Biobank, N = 18,057), we found that PT volume asymmetry had a significant heritability of roughly 14%.  ...  intelligence, when analyzing GWAS data from other studies of intelligence.  ... 
doi:10.1016/j.cortex.2019.11.006 pmid:31887566 fatcat:2dh7gh3szraxno4kqnr3zvneoi

Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence

Erhan Genç, Christoph Fraenz, Caroline Schlüter, Patrick Friedrich, Rüdiger Hossiep, Manuel C. Voelkle, Josef M. Ling, Onur Güntürkün, Rex E. Jung
2018 Nature Communications  
Previous research has demonstrated that individuals with higher intelligence are more likely to have larger gray matter volume in brain areas predominantly located in parieto-frontal regions.  ...  These findings were usually interpreted to mean that individuals with more cortical brain volume possess more neurons and thus exhibit more computational capacity during reasoning.  ...  default setting of 1.7 × 10 −3 mm 2 /s for the analysis of white matter.  ... 
doi:10.1038/s41467-018-04268-8 pmid:29765024 pmcid:PMC5954098 fatcat:g6nkriw2f5b4bjecvev2h554r4

Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits

Bingxin Zhao, Alzheimer's Disease Neuroimaging Initiative, Tianyou Luo, Tengfei Li, Yun Li, Jingwen Zhang, Yue Shan, Xifeng Wang, Liuqing Yang, Fan Zhou, Ziliang Zhu, Hongtu Zhu (+1 others)
2019 Nature Genetics  
A gene-based association study found 157 associated genes (124 new), and functional gene mapping analysis linked 146 additional genes.  ...  GWAS identified 365 independent genetic variants exceeding a significance threshold of 4.9 × 10-10, adjusted for testing multiple phenotypes.  ...  individuals represented in the UK Biobank, ADNI, HCP, PING and PNC datasets for their participation and the research teams for their work in collecting, processing and disseminating these datasets for analysis  ... 
doi:10.1038/s41588-019-0516-6 pmid:31676860 pmcid:PMC6858580 fatcat:hcelxr7j5bhibhe2lfs4fsq4wu

Design and Implementation of Data Management Scheme to Enable Efficient Analysis of Sensing Data

Yuichi Hashi, Kazuyoshi Matsumoto, Yoshinori Seki, Masahiro Hiji, Toru Abe, Takuo Suganuma
2015 2015 IEEE International Conference on Autonomic Computing  
collected data at the time of data analysis  The size of Event information is small and is rarely updated Data managed in CESP and its features Intelligent Knowledge-as-a-Service Volume and Variety  ...  Intelligent Knowledge-as-a-Service  To achieve both high-speed search of large volumes of data, and flexible search of data/information for data analysis and application knowledge acquisition.Intelligent  ... 
doi:10.1109/icac.2015.58 dblp:conf/icac/HashiMSHAS15 fatcat:3qnq5kctufgapfbh5wn3syehma

Interpreting, analyzing and distributing information: A big data framework for competitive intelligence

Eduardo Luis Casarotto, Guilherme Cunha Malafaia, Marta Pagán Martínez, Erlaine Binotto
2021 Journal of Intelligence Studies in Business  
Solutions such as cloud computing, theInternet of Things, and artificial intelligence provide and benefit from a vast generation of data:large data sets called Big Data.  ...  This paper aimed to develop a data-based technological innovation frameworkfocused on the competitive intelligence process.  ...  Although the presence of volume and variety characteristics are inherent, the value designation begins to be reasoned on the quality of the data analysis.  ... 
doi:10.37380/jisib.v1i1.691 fatcat:ogci4hw3xjew7lliedhllsk3s4
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