scholarly journals A Systematic approach towards enhancing of Security and usability of graphical password through cognitive computing and data mining

2021 ◽  
Vol 12 (6) ◽  
pp. 1789-1802
Author(s):  
Norman Dias ◽  
Dr. Mouleeswaran S. K ◽  
Dr. Reeja S R
Keyword(s):  
Data Mining ◽  
Systematic Approach ◽  
Cognitive Computing ◽  
Graphical Password

Security and Verification of Server Data Using Frequent Itemset Mining in Ecommerce

2017 ◽  
Vol 8 (1) ◽  
pp. 31-43
Author(s):  
Zuber Shaikh ◽  
Antara Mohadikar ◽  
Rachana Nayak ◽  
Rohith Padamadan
Keyword(s):  
Data Mining ◽  
Frequent Itemsets ◽  
Frequent Itemset ◽  
Graphical Password ◽  
Itemset Mining ◽  
Frequent Item ◽  
Data Mining Algorithms ◽  
Shoulder Surfing ◽  
Mining Algorithms ◽  
Frequent Item Sets

Frequent itemsets refer to a set of data values (e.g., product items) whose number of co-occurrences exceeds a given threshold. The challenge is that the design of proofs and verification objects has to be customized for different data mining algorithms. Intended method will implement a basic idea of completeness verification and authentication approach in which the client will uses a set of frequent item sets as the evidence, and checks whether the server has missed any frequent item set as evidence in its returned result. It will help client detect untrusted server and system will become much more efficiency by reducing time. In authentication process CaRP is both a captcha and a graphical password scheme. CaRP addresses a number of security problems altogether, such as online guessing attacks, relay attacks, and, if combined with dual-view technologies, shoulder-surfing attacks.

A Systematic Approach for Providing Personalized Pedagogical Recommendations Based on Educational Data Mining

2014 ◽  
pp. 362-367 ◽  
Author(s):  
Ranilson Oscar Araujo Paiva ◽  
Ig Ibert Bittencourt Santa Pinto ◽  
Alan Pedro da Silva ◽  
Seiji Isotani ◽  
Patricia Jaques
Keyword(s):  
Data Mining ◽  
Systematic Approach ◽  
Educational Data Mining

scholarly journals Best Paper Selection

2017 ◽  
Vol 26 (01) ◽  
pp. 70-71
Keyword(s):  
Public Health ◽  
Data Mining ◽  
Quality Control ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Systematic Approach ◽  
Biomedical Data ◽  
Control Methods ◽  
Data Quality Control ◽  
Health Records

Chen J, Podchiyska T, Altman R. OrderRex: clinical order decision support and outcome predictions by data-mining electronic medical records. J Am Med Inform Assoc 2016;23:339-48 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009921/ Miotto R, Li L, Kidd BA, Dudley JT. Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records. Sci Rep 2016;6:26094 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4869115/ Prasser F, Kohlmayer F, Kuhn KA. The Importance of Context: Risk-based De-identification of Biomedical Data. Methods Inf Med 2016;55:347-55 https://methods.schattauer.de/en/contents/archivestandard/issue/2382/manuscript/25994.ht Saez C, Zurriaga O, Perez-Panades J, Melchor I, Robles M, Garcia-Gomez JM. Applying probabilistic temporal and multisite data quality control methods to a public health mortality registry in Spain: a systematic approach to quality control of repositories. J Am Med Inform Assoc 2016;23:1085-95 https://academic.oup.com/jamia/article-lookup/doi/10.1093/jamia/ocw010

scholarly journals Kinetically Guided Radical-Based Synthesis of C(sp3)-C(sp3) Linkages on DNA

2018 ◽  
Author(s):  
Jie Wang ◽  
Helena Lundberg ◽  
Shota Asai ◽  
Pedro Martín-Acosta ◽  
Jason S. Chen ◽  
...  
Keyword(s):  
Data Mining ◽  
Pharmaceutical Industry ◽  
Kinetic Analysis ◽  
Systematic Approach ◽  
Cross Coupling ◽  
Organic Reactions ◽  
The Past ◽  
Sensitive Parameters

<div><div><div><p>DNA-encoded libraries (DEL)-based discovery platforms have recently been widely adopted in pharmaceutical industry, mainly due to its powerful diversity and incredible number of molecules. In the past two decades since its disclosure, great strides have been made to expand the toolbox of reaction modes that are compatible with the idiosyncratic aqueous, dilute, and DNA-sensitive parameters of this system. However, construction of highly important C(sp3)-C(sp3) linkages on DNA through cross-coupling remains unexplored. In this article, we describe a systematic approach to translating standard organic reactions to a DEL-setting through the tactical combination of kinetic analysis and empirical screening with information captured from data mining. To exemplify this model, implementation of the Giese addition to forge high value C–C bonds on DNA was studied, which represents the first radical-based synthesis in DEL.</p></div></div></div>

scholarly journals Automating Analysis of Neutron Scattering Time-of-Flight Single Crystal Phonon Data

2020 ◽  
Vol 4 (4) ◽  
pp. 41
Author(s):  
Dmitry Reznik ◽  
Irada Ahmadova
Keyword(s):  
Data Mining ◽  
Neutron Scattering ◽  
Background Subtraction ◽  
Systematic Approach ◽  
Time Of Flight ◽  
Large Datasets ◽  
Scattering Function ◽  
Scattering Intensity ◽  
Order Of Magnitude ◽  
Scattering Time

This article introduces software called Phonon Explorer that implements a data mining workflow for large datasets of the neutron scattering function, S(Q, ω), measured on time-of-flight neutron spectrometers. This systematic approach takes advantage of all useful data contained in the dataset. It includes finding Brillouin zones where specific phonons have the highest scattering intensity, background subtraction, combining statistics in multiple Brillouin zones, and separating closely spaced phonon peaks. Using the software reduces the time needed to determine phonon dispersions, linewidths, and eigenvectors by more than an order of magnitude.

The Rise of Fashion Informatics: A Case of Data-Mining-Based Social Network Analysis in Fashion

2018 ◽  
Vol 37 (2) ◽  
pp. 87-102 ◽  
Author(s):  
Li Zhao ◽  
Chao Min
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Large Scale ◽  
Dynamic Network ◽  
Fashion Industry ◽  
Cognitive Computing ◽  
Data Set

With the advent of modern cognitive computing technologies, fashion informatics researchers contribute to the academic and professional discussion about how a large-scale data set is able to reshape the fashion industry. Data-mining-based social network analysis is a promising area of fashion informatics to investigate relations and information flow among fashion units. By adopting this pragmatic approach, we provide dynamic network visualizations of the case of Paris Fashion Week. Three time periods were researched to monitor the formulation and mobilization of social media users’ discussions of the event. Initial textual data on social media were crawled, converted, calculated, and visualized by Python and Gephi. The most influential nodes (hashtags) that function as junctions and the distinct hashtag communities were identified and represented visually as graphs. The relations between the contextual clusters and the role of junctions in linking these clusters were investigated and interpreted.

scholarly journals Kinetically Guided Radical-Based Synthesis of C(sp3)-C(sp3) Linkages on DNA

2018 ◽  
Author(s):  
Jie Wang ◽  
Helena Lundberg ◽  
Shota Asai ◽  
Pedro Martín-Acosta ◽  
Jason S. Chen ◽  
...  
Keyword(s):  
Data Mining ◽  
Pharmaceutical Industry ◽  
Kinetic Analysis ◽  
Systematic Approach ◽  
Cross Coupling ◽  
Organic Reactions ◽  
The Past ◽  
Sensitive Parameters

<div><div><div><p>DNA-encoded libraries (DEL)-based discovery platforms have recently been widely adopted in pharmaceutical industry, mainly due to its powerful diversity and incredible number of molecules. In the past two decades since its disclosure, great strides have been made to expand the toolbox of reaction modes that are compatible with the idiosyncratic aqueous, dilute, and DNA-sensitive parameters of this system. However, construction of highly important C(sp3)-C(sp3) linkages on DNA through cross-coupling remains unexplored. In this article, we describe a systematic approach to translating standard organic reactions to a DEL-setting through the tactical combination of kinetic analysis and empirical screening with information captured from data mining. To exemplify this model, implementation of the Giese addition to forge high value C–C bonds on DNA was studied, which represents the first radical-based synthesis in DEL.</p></div></div></div>

scholarly journals Kinetically guided radical-based synthesis of C(sp3)−C(sp3) linkages on DNA

2018 ◽  
Vol 115 (28) ◽  
pp. E6404-E6410 ◽  
Author(s):  
Jie Wang ◽  
Helena Lundberg ◽  
Shota Asai ◽  
Pedro Martín-Acosta ◽  
Jason S. Chen ◽  
...  
Keyword(s):  
Data Mining ◽  
Pharmaceutical Industry ◽  
Kinetic Analysis ◽  
Systematic Approach ◽  
Cross Coupling ◽  
Organic Reactions ◽  
Sensitive Parameters

DNA-encoded libraries (DEL)-based discovery platforms have recently been widely adopted in the pharmaceutical industry, mainly due to their powerful diversity and incredible number of molecules. In the two decades since their disclosure, great strides have been made to expand the toolbox of reaction modes that are compatible with the idiosyncratic aqueous, dilute, and DNA-sensitive parameters of this system. However, construction of highly important C(sp3)−C(sp3) linkages on DNA through cross-coupling remains unexplored. In this article, we describe a systematic approach to translating standard organic reactions to a DEL setting through the tactical combination of kinetic analysis and empirical screening with information captured from data mining. To exemplify this model, implementation of the Giese addition to forge high value C–C bonds on DNA was studied, which represents a radical-based synthesis in DEL.

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