Results 91 to 100 of about 22,816,084 (277)
A state-of-the-art survey of malware detection approaches using data mining techniques
Human-Centric Computing and Information Sciences, 2018 Data mining techniques have been concentrated for malware detection in the recent decade. The battle between security analyzers and malware scholars is everlasting as innovation grows.
A. Souri, R. Hosseini
semanticscholar +1 more source
Data Mining and Its Applications for Knowledge Management: A Literature Review from 2007 to 2012 [PDF]
International Journal of Data Mining & Knowledge Management
Process (IJDKP) Vol.2, No.5, 2012, pp. 13-24, 2012 Data mining is one of the most important steps of the knowledge discovery in databases process and is considered as significant subfield in knowledge management. Research in data mining continues growing in business and in learning organization over coming decades.
arxiv
Information, 2019 This paper proposes an improved Bat algorithm based on hybridizing a parallel and compact method (namely pcBA) for a class of saving variables in optimization problems.
Trong-The Nguyen +2 more
doaj +1 more source
Building a Classification Model for Enrollment In Higher Educational Courses using Data Mining Techniques [PDF]
arXiv, 2014 Data Mining is the process of extracting useful patterns from the huge amount of database and many data mining techniques are used for mining these patterns. Recently, one of the remarkable facts in higher educational institute is the rapid growth data and this educational data is expanding quickly without any advantage to the educational management ...
arxiv
An Open-Source Integration of Process Mining Features into the Camunda Workflow Engine: Data Extraction and Challenges [PDF]
arXiv, 2020 Process mining provides techniques to improve the performance and compliance of operational processes. Although sometimes the term "workflow mining" is used, the application in the context of Workflow Management (WFM) and Business Process Management (BPM) systems is limited. The main reason is that WFM/BPM systems control the process, leaving less room
arxiv
DATA MINING TECHNOLOGIES [PDF]
Knowledge discovery and data mining software (Knowledge Discovery and Data Mining - KDD) as an interdisciplinary field emersion have been in rapid growth to merge databases, statistics, industries closely related to the desire to extract valuable ...
Titrade Cristina-Maria
core
3D-STARNET: Spatial–Temporal Attention Residual Network for Robust Action Recognition
Applied SciencesExisting skeleton-based action recognition methods face the challenges of insufficient spatiotemporal feature mining and a low efficiency of information transmission.
Jun Yang +5 more
doaj +1 more source
Joint Bayesian Stochastic Inversion of Well Logs and Seismic Data for Volumetric Uncertainty Analysis [PDF]
International Journal of Mining and Geo-Engineering, 2015 Here in, an application of a new seismic inversion algorithm in one of Iran’s oilfields is described. Stochastic (geostatistical) seismic inversion, as a complementary method to deterministic inversion, is perceived as contribution combination of ...
Moslem Moradi +4 more
doaj
SCMDOT: Spatial Clustering with Multiple Density-Ordered Trees
ISPRS International Journal of Geo-Information, 2017 With the rapid explosion of information based on location, spatial clustering plays an increasingly significant role in this day and age as an important technique in geographical data analysis.
Xiaozhu Wu, Hong Jiang, Chongcheng Chen
doaj +1 more source
A Survey on Various Data Mining Techniques for ECG Meta Analysis [PDF]
arXiv, 2016 Data Mining is the process of examining the information from different point of view and compressing it for the relevant data. This data can also be utilized to build the incomes. Data Mining is also known as Data or Knowledge Discovery. The basic purpose of data mining is to search patterns which have minimal user inputs and efforts. Data Mining plays
arxiv