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Topic Review
Accurate and Invertible Sketch for Super Spread Detection
Super spread detection has been widely applied in network management, recommender systems, and cyberspace security. It is more complicated than heavy hitter owing to the requirement of duplicate removal. Accurately detecting a super spread in real-time with small memory demands remains a nontrivial yet challenging issue. 
  • 85
  • 11 Jan 2024
Topic Review
Heart Rate Variability towards Noninvasive Glucose Measurement
Heart rate variability (HRV) is defined by the heart rate variations caused by the periodic change of heart rhythm over time in the absence of physiological activity, postural changes, and emotional stimuli. This labels HRV as a noninvasive marker of the autonomic nervous system (ANS) function. Heart rate variability (HRV) parameters can reveal the performance of the autonomic nervous system and possibly estimate the type of its malfunction, such as that of detecting the blood glucose level. 
  • 135
  • 14 Nov 2023
Topic Review
Consensus Big Data Clustering for Bayesian Mixture Models
In the context of big-data analysis, the clustering technique holds significant importance for the effective categorization and organization of extensive datasets. However, pinpointing the ideal number of clusters and handling high-dimensional data can be challenging. To tackle these issues, several strategies have been suggested, such as a consensus clustering ensemble that yields more significant outcomes compared to individual models. Another valuable technique for cluster analysis is Bayesian mixture modelling, which is known for its adaptability in determining cluster numbers. 
  • 162
  • 18 Aug 2023
Topic Review
Six Stages to Choose Sampling Techniques
In order to answer the research questions, it is doubtful that researcher should be able to collect data from all cases. Thus, there is a need to select a sample. The entire set of cases from which researcher sample is drawn in called the population. Since, researchers neither have time nor the resources to analysis the entire population so they apply sampling technique to reduce the number of cases. There are six stages to choose sampling techniques.
  • 92.6K
  • 17 Jul 2023
Biography Video
Hamed Taherdoost
Hamed Taherdoost is an award-winning leader and research and development professional. He is the Founder of Hamta Group | Hamta Business Solution and Associate Professor at University Canada West. He has over 20 years of experience in both industry and academic sectors. He has worked at international companies from Cyprus, the UK, Malta, Iran, Malaysia, and Canada and has been highly involved in
  • 466
  • 09 Feb 2023
Topic Review Peer Reviewed
Application of Mobile Operators’ Data in Modern Geographical Research
Mobile operators’ data are one type of Big Data. These are any data about events related to the use of a mobile phone. These data include subscriber identifiers and associated time and location attributes. Big Data in general usually includes datasets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time. Big Data can be described by the following key characteristics: volume, variety, velocity, veracity, value, variability etc. Mobile operators’ data are supplied by the Mobile Network Operators. The main distinguishing features of the operator are, firstly, the possession of a state license to use the radio frequency spectrum, and, secondly, the possession or control over the elements of the network infrastructure necessary to provide services to subscribers in the authorized radio frequency spectrum. The smallest structural territorial element for cellular communication systems is a cell; its dimensions can be different (250 by 250 m, 500 by 500 m, etc.).
  • 298
  • 01 Dec 2022
Biography
I. J. Good
Irving John ("I. J."; "Jack") Good (9 December 1916 – 5 April 2009)[1][2] was a British mathematician who worked as a cryptologist at Bletchley Park with Alan Turing. After the Second World War, Good continued to work with Turing on the design of computers and Bayesian statistics at the University of Manchester. Good moved to the United States where he was professor at Virginia Tech. He was b
  • 542
  • 24 Nov 2022
Topic Review
SIGKDD
SIGKDD is the Association for Computing Machinery's (ACM) Special Interest Group (SIG) on Knowledge Discovery and Data Mining. It became an official ACM SIG in 1998.
  • 373
  • 18 Nov 2022
Topic Review
Data Mining in Agriculture
Data mining in agriculture is a recent research topic, consisting of the application of data mining techniques to agriculture. Recent technologies are able to provide extensive information on agricultural-related activities, which can then be analyzed in order to find relevant information. A related, but not equivalent term is precision agriculture.
  • 683
  • 18 Nov 2022
Topic Review
Data Analysis/4 Data Mining
Data mining (sometimes called knowledge discovery) is the process of analyzing and summarizing data into useful information which can be used to understand common features, the origin of data and to extract hidden predictive information. Data mining is used in science, engineering, modeling and analysis of financial markets.
  • 369
  • 15 Nov 2022
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