The Experts below are selected from a list of 12 Experts worldwide ranked by ideXlab platform
W H Inmon - One of the best experts on this subject based on the ideXlab platform.
-
2 6 textual disambiguation
Data Architecture: a Primer for the Data Scientist#R##N#Big Data Data Warehouse and Data Vault, 2015Co-Authors: W H InmonAbstract:Unstructured Nonrepetitive Data is contextualized by means of a process called textual disambiguation. It is only after textual disambiguation that unstructured Nonrepetitive Data is able to be analyzed. Textual disambiguation is sometimes called textual ETL. Textual disambiguation consists of many different algorithms. The two most prominent algorithms are document fracturing and named value process (sometimes called inline contextualization). The process of identifying documents that need to be processed through textual disambiguation is preceded by the mapping process. The iterative approach is the way that documents are normally processed. Another form of disambiguation is that of report decompilation.
-
8 1 Nonrepetitive Data
Data Architecture: a Primer for the Data Scientist#R##N#Big Data Data Warehouse and Data Vault, 2015Co-Authors: W H InmonAbstract:Nonrepetitive analytics begins with the contextualization of the Nonrepetitive Data. Unlike repetitive Data, the context of Nonrepetitive Data is difficult to determine. The context of Nonrepetitive Big Data is determined by textual disambiguation. In textual disambiguation, there are algorithms that relate to stop word resolution, stemming, homographic resolution, inline contextualization, taxonomy/ontology resolution, custom variable resolution, acronym resolution, and so forth. Nonrepetitive analytics is relevant to business value. Some typical forms of Nonrepetitive analytics include the analysis of medical records, warranty analysis, insurance claim analysis, and call center analysis.
-
analytics from Nonrepetitive Data
Data Architecture: a Primer for the Data Scientist#R##N#Big Data Data Warehouse and Data Vault, 2015Co-Authors: W H Inmon, Daniel LinstedtAbstract:One type of analytics that can be created from Nonrepetitive unstructured Data is that of call-center analysis of information. The call-center conversations are captured, analyzed, and put into a relational Database. Once placed inside the relational Database, the information is analyzed by a dashboard. Another form of analytical processing is that of analysis of medical records. The text of the medical record is placed into a relational Database in a form recognizable to the doctor or the analyst.
David C. Richardson - One of the best experts on this subject based on the ideXlab platform.
-
Structure validation by Calpha geometry: phi,psi and Cbeta deviation.
Proteins, 2003Co-Authors: Simon C. Lovell, Ian W. Davis, W. Bryan Arendall, Paul I. W. De Bakker, J. Michael Word, Michael G. Prisant, Jane S. Richardson, David C. RichardsonAbstract:Geometrical validation around the Calpha is described, with a new Cbeta measure and updated Ramachandran plot. Deviation of the observed Cbeta atom from ideal position provides a single measure encapsulating the major structure-validation information contained in bond angle distortions. Cbeta deviation is sensitive to incompatibilities between sidechain and backbone caused by misfit conformations or inappropriate refinement restraints. A new phi,psi plot using density-dependent smoothing for 81,234 non-Gly, non-Pro, and non-prePro residues with B < 30 from 500 high-resolution proteins shows sharp boundaries at critical edges and clear delineation between large empty areas and regions that are allowed but disfavored. One such region is the gamma-turn conformation near +75 degrees,-60 degrees, counted as forbidden by common structure-validation programs; however, it occurs in well-ordered parts of good structures, it is overrepresented near functional sites, and strain is partly compensated by the gamma-turn H-bond. Favored and allowed phi,psi regions are also defined for Pro, pre-Pro, and Gly (important because Gly phi,psi angles are more permissive but less accurately determined). Details of these accurate empirical distributions are poorly predicted by previous theoretical calculations, including a region left of alpha-helix, which rates as favorable in energy yet rarely occurs. A proposed factor explaining this discrepancy is that crowding of the two-peptide NHs permits donating only a single H-bond. New calculations by Hu et al. [Proteins 2002 (this issue)] for Ala and Gly dipeptides, using mixed quantum mechanics and molecular mechanics, fit our Nonrepetitive Data in excellent detail. To run our geometrical evaluations on a user-uploaded file, see MOLPROBITY (http://kinemage.biochem.duke.edu) or RAMPAGE (http://www-cryst.bioc.cam.ac.uk/rampage).
Daniel Linstedt - One of the best experts on this subject based on the ideXlab platform.
-
analytics from Nonrepetitive Data
Data Architecture: a Primer for the Data Scientist#R##N#Big Data Data Warehouse and Data Vault, 2015Co-Authors: W H Inmon, Daniel LinstedtAbstract:One type of analytics that can be created from Nonrepetitive unstructured Data is that of call-center analysis of information. The call-center conversations are captured, analyzed, and put into a relational Database. Once placed inside the relational Database, the information is analyzed by a dashboard. Another form of analytical processing is that of analysis of medical records. The text of the medical record is placed into a relational Database in a form recognizable to the doctor or the analyst.
Simon C. Lovell - One of the best experts on this subject based on the ideXlab platform.
-
Structure validation by Calpha geometry: phi,psi and Cbeta deviation.
Proteins, 2003Co-Authors: Simon C. Lovell, Ian W. Davis, W. Bryan Arendall, Paul I. W. De Bakker, J. Michael Word, Michael G. Prisant, Jane S. Richardson, David C. RichardsonAbstract:Geometrical validation around the Calpha is described, with a new Cbeta measure and updated Ramachandran plot. Deviation of the observed Cbeta atom from ideal position provides a single measure encapsulating the major structure-validation information contained in bond angle distortions. Cbeta deviation is sensitive to incompatibilities between sidechain and backbone caused by misfit conformations or inappropriate refinement restraints. A new phi,psi plot using density-dependent smoothing for 81,234 non-Gly, non-Pro, and non-prePro residues with B < 30 from 500 high-resolution proteins shows sharp boundaries at critical edges and clear delineation between large empty areas and regions that are allowed but disfavored. One such region is the gamma-turn conformation near +75 degrees,-60 degrees, counted as forbidden by common structure-validation programs; however, it occurs in well-ordered parts of good structures, it is overrepresented near functional sites, and strain is partly compensated by the gamma-turn H-bond. Favored and allowed phi,psi regions are also defined for Pro, pre-Pro, and Gly (important because Gly phi,psi angles are more permissive but less accurately determined). Details of these accurate empirical distributions are poorly predicted by previous theoretical calculations, including a region left of alpha-helix, which rates as favorable in energy yet rarely occurs. A proposed factor explaining this discrepancy is that crowding of the two-peptide NHs permits donating only a single H-bond. New calculations by Hu et al. [Proteins 2002 (this issue)] for Ala and Gly dipeptides, using mixed quantum mechanics and molecular mechanics, fit our Nonrepetitive Data in excellent detail. To run our geometrical evaluations on a user-uploaded file, see MOLPROBITY (http://kinemage.biochem.duke.edu) or RAMPAGE (http://www-cryst.bioc.cam.ac.uk/rampage).
Ian W. Davis - One of the best experts on this subject based on the ideXlab platform.
-
Structure validation by Calpha geometry: phi,psi and Cbeta deviation.
Proteins, 2003Co-Authors: Simon C. Lovell, Ian W. Davis, W. Bryan Arendall, Paul I. W. De Bakker, J. Michael Word, Michael G. Prisant, Jane S. Richardson, David C. RichardsonAbstract:Geometrical validation around the Calpha is described, with a new Cbeta measure and updated Ramachandran plot. Deviation of the observed Cbeta atom from ideal position provides a single measure encapsulating the major structure-validation information contained in bond angle distortions. Cbeta deviation is sensitive to incompatibilities between sidechain and backbone caused by misfit conformations or inappropriate refinement restraints. A new phi,psi plot using density-dependent smoothing for 81,234 non-Gly, non-Pro, and non-prePro residues with B < 30 from 500 high-resolution proteins shows sharp boundaries at critical edges and clear delineation between large empty areas and regions that are allowed but disfavored. One such region is the gamma-turn conformation near +75 degrees,-60 degrees, counted as forbidden by common structure-validation programs; however, it occurs in well-ordered parts of good structures, it is overrepresented near functional sites, and strain is partly compensated by the gamma-turn H-bond. Favored and allowed phi,psi regions are also defined for Pro, pre-Pro, and Gly (important because Gly phi,psi angles are more permissive but less accurately determined). Details of these accurate empirical distributions are poorly predicted by previous theoretical calculations, including a region left of alpha-helix, which rates as favorable in energy yet rarely occurs. A proposed factor explaining this discrepancy is that crowding of the two-peptide NHs permits donating only a single H-bond. New calculations by Hu et al. [Proteins 2002 (this issue)] for Ala and Gly dipeptides, using mixed quantum mechanics and molecular mechanics, fit our Nonrepetitive Data in excellent detail. To run our geometrical evaluations on a user-uploaded file, see MOLPROBITY (http://kinemage.biochem.duke.edu) or RAMPAGE (http://www-cryst.bioc.cam.ac.uk/rampage).
