Data Mining Research with the LSST The LSST catalog database will exceed 10 petabytes, comprising several hundred attributes for 5 billion galaxies, 10 billion stars, and over 1 billion variable sources (optical variables, transients, or moving objects), extracted from ov... KD Borne,MA Strauss...
The covering machine learning algorithm CN4, a large extension of the well-known CN2 algorithm, is used here as an inductive vehicle. Each of the six routines for unknown attribute value processing (which are available in CN4) is used independently in order to process a given database. ...
In addition, many of the first practical cloud-based applications have been built to store, manage, and process massive data sets, leveraging large clusters of commodity hardware and using programming frameworks (such as MapReduce and Hadoop) for reliable and scalable distributed computing. These ...
INTRODUCTION When dealing with large data sets, details of data ... G Pohl,W Ye 被引量: 1发表: 2007年 Comparison of Shape-Based and Stroke-Based Methods for Segmenting Handwritten Chinese Characters spatial shape-based algorithm proposed by Han Zhang, Chao Lu (2004), which segments the ...
The covering machine learning algorithm CN4, a large extension of the well-known CN2 algorithm, is used here as an inductive vehicle. Each of the six routines for unknown attribute value processing (which are available in CN4) is used independently in order to process a given database. ...
In a cross-sectional (Study 1; N = 99) and a 5-wave diary study (Study 2; N = 227), we examined whether self-compassion helps job seekers to better cope emotionally with the difficulties they encounter (Study 1) and the lack of progress they experience (Study 2) during job...
A repeated analysis could uncover further differences among “Before COVID-19,”“With COVID-19,” and “After COVID-19” (pre/in/post) periods based on an updated and enlarged dataset, possibly extending the databased to other websites. The empirical bases of analysis is restricted to ...
Randomness in training, validation and test data is quite crucial while dealing with large datasets, since it makes model optimisation a natural challenge to data modelling [7,13]. The impact of the variable CLS in Table 1 on the decision-making process depends on the way it was done, the...
data, and failure to harness high-quality data would impact credit lenders when assessing the loan applicants’ risk profiles. In this paper, an empirical comparison of the robustness of seven machine learning algorithms to credit risk, namely support vector machines (SVMs), naïve base, decision...
database migrations/pg .gitignore .goreleaser.yml .travis.yml LICENSE Makefile README.md go.mod go.sum README Apache-2.0 license edgr | Makes SEC filings not terrible This project consists of: edgr- a cli tool that can populate a postgres db with SEC filings for use in data analysis ...