Results 31 to 40 of about 531,551 (278)
Auto-Prep: Efficient and Automated Data Preprocessing Pipeline
IEEE Access, 2022 Data preprocessing is crucial in the Machine Learning pipeline because the models’ learning ability directly affects the quality of data and the underlying information acquired from this stage.
Mehwish Bilal +5 more
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Multivariate data approximation with preprocessing of data
Computer Assisted Methods in Engineering and Science, 2022 An adaptive information system is constructed in order to approximate a set of multidimensional data. To get better approximation properties a pre-processing stage of data is proposed in which the set of points, forming the multidimensional data base ...
Witold Kosiński +2 more
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PReaCH: A Fast Lightweight Reachability Index using Pruning and Contraction Hierarchies [PDF]
, 2014 We develop the data structure PReaCH (for Pruned Reachability Contraction Hierarchies) which supports reachability queries in a directed graph, i.e., it supports queries that ask whether two nodes in the graph are connected by a directed path.
Merz, Florian, Sanders, Peter
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FastqPuri: high-performance preprocessing of RNA-seq data
BMC Bioinformatics, 2019 Background RNA sequencing (RNA-seq) has become the standard means of analyzing gene and transcript expression in high-throughput. While previously sequence alignment was a time demanding step, fast alignment methods and even more so transcript counting ...
Paula Pérez-Rubio +2 more
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Using Entropy in Web Usage Data Preprocessing
Entropy, 2018 The paper is focused on an examination of the use of entropy in the field of web usage mining. Entropy creates an alternative possibility of determining the ratio of auxiliary pages in the session identification using the Reference Length method.
Michal Munk, Lubomir Benko
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PCA 4 DCA: The Application Of Principal Component Analysis To The Dendritic Cell Algorithm [PDF]
, 2009 As one of the newest members in the field of artificial immune systems (AIS), the Dendritic Cell Algorithm (DCA) is based on behavioural models of natural dendritic cells (DCs).
Aickelin, Uwe +3 more
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Cooperative Downlink Multicell Preprocessing Relying on Reduced-Rate Back-Haul Data Exchange [PDF]
, 2011 Different-complexity multicell preprocessing (MCP) schemes employing distributed signal-to-interference leakageplus-noise ratio (SILNR) precoding techniques are proposed, which require reduced back-haul data exchange in comparison with the conventional ...
Hanzo, Lajos, Zhang, Rong
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Gene expression data preprocessing [PDF]
Bioinformatics, 2003 Abstract Summary: We present an interactive web tool for preprocessing microarray gene expression data. It analyses the data, suggests the most appropriate transformations and proceeds with them after user agreement. The normal preprocessing steps include scale transformations, management of missing values, replicate handling, flat ...
J, Herrero, R, Díaz-Uriarte, J, Dopazo
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Data Preprocessing Toolkit : An Approach to Automate Data Preprocessing
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023 -Data Pre-processing transforms the data into a format that is more easily and effectively processed in data mining, machine learning, and other data science tasks. The Data Pre-processing techniques are generally used at the earlier stages of the machine learning and AI development pipeline to ensure accurate results.
Deepak Varma, Alwala Nehansh, P Swathy
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PREPROCESSING OF SATELLITE DATA FOR URBAN OBJECT EXTRACTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Very high resolution (VHR) DSMs (digital surface models) derived from stereo- or multi-stereo images from current VHR satellites like WorldView-2 or Pléiades can be produced up to the ground sampling distance (GSD) of the sensors in the range of 50 cm to
T. Krauß
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