Mining in agriculture is a innovative groundwork domain. The problems in the agricultural field can be efficiently solved by using data mining techniques since it anticipate before in hand with the help of raw data's. Previously mentioned, the paper discuses about various data mining techniques ...
Outlier mining is responsible for finding patterns that are different from others in large datasets. In the water quality dataset, anomalies may be caused by technical problems or actual events. It is essential to use reliable data and eliminate technical outliers for the proper identification of ...
A blockchain is a type of distributed ledger technology (DLT) that securely records and verifies every transaction across multiple connected computers, or nodes, all at once. Because the data on a blockchain is meant to be immutable, it is difficult -- but not impossible -- to alter or t...
Liaoning is one of the major mining provinces in China, with rich mineral resources and long-term, high-intensity mining activities. Taking Liaoning Province as an example, vegetation change in six mining areas was investigated using multisource remote sensing data to evaluate ecological and ...
The process for Outlook data recovery will depend on the data loss... June 9, 2023 Atomic Wallet Hack: What We Know (And What To Do Next) Atomic Wallet, a self-custodial, decentralized cryptocurrency wallet, has confirmed the loss of millions of dollars in users’ assets. Hundreds of ...
while BPM encompasses an organization's end-to-end architecture and process management. "Although RPA most likely will be an integral part of BPM, RPA is not necessarily the only area of emphasis within BPM for organizations," said Priya Iragavarapu, vice president of data science and analytics...
To categorize various combinations of device exposure as data emerged, we used latent profile analysis (LPA). LPA is a mixture model that clusters the sample into a few salient latent profile classes. As a result of LPA, each individual would have an estimated probability of allocation in each...
Data of preparation and characterization of activated carbon using two activant agents and mango seed as precursor material Data in Brief (2019) View more references Cited by (441) Activated carbon from biomass waste precursors: Factors affecting production and adsorption mechanism ...
data set(a class imbalance datasets). At the same time, we think that there are not only a problem of class imbalance in EEG classification, but also a issue of ‘easy-hard’ example(the different classification difficulty for different classes). So Another contribution of the proposed method...
Interpret results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining Support gathering of additional data for ad-hoc analysis as needed Recommend different ways to constantly improve data reliability, efficiency, and quality ...