Results 31 to 40 of about 98,082 (264)
Detecting Internet Worms Using Data Mining Techniques [PDF]
Journal of Systemics, Cybernetics and Informatics, 2008 Internet worms pose a serious threat to computer security. Traditional approaches using signatures to detect worms pose little danger to the zero day attacks.
Muazzam Siddiqui +2 more
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Advanced data mining techniques for landslide susceptibility mapping
Geomatics, Natural Hazards & Risk, 2021 This paper describes the development and validation of landslides susceptibility models for mountainous regions using advanced data mining techniques. The investigation was carried out to ascertain the effectiveness of Naïve Bayes Multinomial (NBM) and ...
Muhammad Bello Ibrahim +4 more
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Interpreting the effects of DNA polymerase variants at the structural level
Molecular Oncology, EarlyView.Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
Technometrics, 2001 Methods for knowledge discovery in data bases (KDD) have been studied for more than a decade. New methods are required owing to the size and complexity of data collections in administration, business and science. They include procedures for data query and extraction, for data cleaning, data analysis, and methods of knowledge representation.
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Measuring Data Quality of Geoscience Datasets Using Data Mining Techniques
Data Science Journal, 2007 Currently there are many methods of collecting geoscience data, such as station observations, satellite images, sensor networks, etc. All of these data sources from different regions and time intervals are combined in geoscience research activities today.
Cuo Cai, Kunqing Xie
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Molecular Oncology, EarlyView.We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober +16 more
wiley +1 more source
Using Some Data Mining Techniques with Application on Insurance Data [PDF]
المجلة العلمية للدراسات والبحوث المالية والتجاريةFraud considered as the most common problem in insurance companies.Detecting frauds is a difficult problem for insurance companies. This study presents a statistical and data mining techniques.
Dalia Mousa
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Data Mining Techniques for Text Mining
Indian Journal of Science and Technology, 2016 Semantic text mining is an abstraction of acknowledge based on the meaning. Semantic terms are explained, phrases or words. The searching terms concern their weight is computed corresponding to their synonyms, and the term which has maximum weight is at the top.
Gagandeep Kaur, Hardeep Singh
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Finding novel vulnerabilities of hypomorphic BRCA1 alleles
Molecular Oncology, EarlyView.Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder +10 more
wiley +1 more source
Data Mining Techniques of XML Data Warehouse [PDF]
Informatică economică, 2007 In this paper we will try to answer to some questions referring to hypertext. In the same time our purpose is to explain what we mean by a query in the context of XQL, and to present a simple model, which will serve as a framework for the future research.
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