Repurposing Legacy Data Innovative Case Studies Computer Science Reviews and Trends Jules J Berman 9780128028827 Books Download in PDF Epub & Kindle Repurposing%20Legacy%20Data%20Innovative%20Case%20Studies%20Computer%20Science%20Reviews%20and%20Trends%20Jules%20J%20Berman%209780128028827%20Books
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Download in PDF Epub & Kindle Repurposing Legacy Data Innovative Case Studies Computer Science Reviews and Trends Jules J Berman 9780128028827 Books FKZ
Repurposing Legacy Data Innovative Case Studies takes a look at how data scientists have re-purposed legacy data, whether their own, or legacy data that has been donated to the public domain.
Most of the data stored worldwide is legacy data―data created some time in the past, for a particular purpose, and left in obsolete formats. As with keepsakes in an attic, we retain this information thinking it may have value in the future, though we have no current use for it.
The case studies in this book, from such diverse fields as cosmology, quantum physics, high-energy physics, microbiology, psychiatry, medicine, and hospital administration, all serve to demonstrate how innovative people draw value from legacy data. By following the case examples, readers will learn how legacy data is restored, merged, and analyzed for purposes that were never imagined by the original data creators.
Jules J. Berman,Repurposing Legacy Data Innovative Case Studies (Computer Science Reviews and Trends),Elsevier,0128028823,Data Processing,Database management,File organization (Computer science),Information storage and retrieval systems,Advanced algorithms;Aggregate data;Autocoding;Biometrics;CODIS;Classification;Complex data;Complex systems;Confidentiality;Congressional Record;Data annotation;Data immutability;Data integration;Data reproducibility;Data review;Data sharing;Data standards;Data validation;Data verification;Deep analytics;Finger prints;First analysis;Flattened data;Heliocentric system;Hypothesis generation;Identifiers;Indexing;Irreproducible results;Mayan glyphs;Modeling;Multidisciplinary science;Multimodality,COMPUTER,COMPUTERS,COMPUTERS / Data Processing,COMPUTERS / Data Science / General,Advanced algorithms; Aggregate data; Autocoding; Biometrics; CODIS; Classification; Complex data; Complex systems; Confidentiality; Congressional Record; Data annotation; Data immutability; Data integration; Data reproducibility; Data review; Data sharing; Data standards; Data validation; Data verification; Deep analytics; Finger prints; First analysis; Flattened data; Heliocentric system; Hypothesis generation; Identifiers; Indexing; Irreproducible results; Mayan glyphs; Modeling; Multidisciplinary science; Multimodality; Ngram analysis; Nomenclature; Ontology; Page ranking; Prediction; Privacy; Quantum physics; Reanalysis; Reproducibility; Second analysis; Specifications; Subgroups; Term extraction; Testing assertions; Text scrubber; Trend analysis; Unrepeatability; Unstructured data,COMPUTERS / Database Administration Management,COMPUTERS / Databases / Data Warehousing,COMPUTERS / Image Processing,COMPUTERS / Management Information Systems,COMPUTERS / System Administration / Storage Retrieval,Case Studies,Computer Books General,Computer/General,Computers - Other Applications,Computers/Data Science - Data Warehousing,Computers/Database Administration Management,Computers/Image Processing,Computers/Management Information Systems,Computing Security,Data Management,Data Processing,Data Science,Data capture analysis,Database Administration Management,Database management,Databases,Databases - Data Warehousing,Enterprise software,File organization (Computer science),General,How-to/Do-it-yourself,Image Processing,Information storage and retrieval systems,Information technology general issues,Library, archive information management,Management Information Systems,Monograph Series, any,Non-Fiction,Research Methodology,Scholarly/Undergraduate,United States,COMPUTERS / Data Processing,COMPUTERS / Data Science / General,COMPUTERS / Database Administration Management,COMPUTERS / Image Processing,COMPUTERS / Management Information Systems,COMPUTERS / System Administration / Storage Retrieval,Computers / Databases / Data Warehousing,Computers/Data Science - Data Warehousing,Computers/Database Administration Management,Computers/Image Processing,Computers/Management Information Systems,Databases - Data Warehousing,Image Processing,Research Methodology,Computers - Other Applications,Computers,Computer Books General,Data capture analysis,Enterprise software,Databases,Information technology general issues,Library, archive information management
Repurposing Legacy Data Innovative Case Studies Computer Science Reviews and Trends Jules J Berman 9780128028827 Books Reviews :
Repurposing Legacy Data Innovative Case Studies takes a look at how data scientists have re-purposed legacy data, whether their own, or legacy data that has been donated to the public domain.
Most of the data stored worldwide is legacy data―data created some time in the past, for a particular purpose, and left in obsolete formats. As with keepsakes in an attic, we retain this information thinking it may have value in the future, though we have no current use for it.
The case studies in this book, from such diverse fields as cosmology, quantum physics, high-energy physics, microbiology, psychiatry, medicine, and hospital administration, all serve to demonstrate how innovative people draw value from legacy data. By following the case examples, readers will learn how legacy data is restored, merged, and analyzed for purposes that were never imagined by the original data creators.
Jules J. Berman,Repurposing Legacy Data Innovative Case Studies (Computer Science Reviews and Trends),Elsevier,0128028823,Data Processing,Database management,File organization (Computer science),Information storage and retrieval systems,Advanced algorithms;Aggregate data;Autocoding;Biometrics;CODIS;Classification;Complex data;Complex systems;Confidentiality;Congressional Record;Data annotation;Data immutability;Data integration;Data reproducibility;Data review;Data sharing;Data standards;Data validation;Data verification;Deep analytics;Finger prints;First analysis;Flattened data;Heliocentric system;Hypothesis generation;Identifiers;Indexing;Irreproducible results;Mayan glyphs;Modeling;Multidisciplinary science;Multimodality,COMPUTER,COMPUTERS,COMPUTERS / Data Processing,COMPUTERS / Data Science / General,Advanced algorithms; Aggregate data; Autocoding; Biometrics; CODIS; Classification; Complex data; Complex systems; Confidentiality; Congressional Record; Data annotation; Data immutability; Data integration; Data reproducibility; Data review; Data sharing; Data standards; Data validation; Data verification; Deep analytics; Finger prints; First analysis; Flattened data; Heliocentric system; Hypothesis generation; Identifiers; Indexing; Irreproducible results; Mayan glyphs; Modeling; Multidisciplinary science; Multimodality; Ngram analysis; Nomenclature; Ontology; Page ranking; Prediction; Privacy; Quantum physics; Reanalysis; Reproducibility; Second analysis; Specifications; Subgroups; Term extraction; Testing assertions; Text scrubber; Trend analysis; Unrepeatability; Unstructured data,COMPUTERS / Database Administration Management,COMPUTERS / Databases / Data Warehousing,COMPUTERS / Image Processing,COMPUTERS / Management Information Systems,COMPUTERS / System Administration / Storage Retrieval,Case Studies,Computer Books General,Computer/General,Computers - Other Applications,Computers/Data Science - Data Warehousing,Computers/Database Administration Management,Computers/Image Processing,Computers/Management Information Systems,Computing Security,Data Management,Data Processing,Data Science,Data capture analysis,Database Administration Management,Database management,Databases,Databases - Data Warehousing,Enterprise software,File organization (Computer science),General,How-to/Do-it-yourself,Image Processing,Information storage and retrieval systems,Information technology general issues,Library, archive information management,Management Information Systems,Monograph Series, any,Non-Fiction,Research Methodology,Scholarly/Undergraduate,United States,COMPUTERS / Data Processing,COMPUTERS / Data Science / General,COMPUTERS / Database Administration Management,COMPUTERS / Image Processing,COMPUTERS / Management Information Systems,COMPUTERS / System Administration / Storage Retrieval,Computers / Databases / Data Warehousing,Computers/Data Science - Data Warehousing,Computers/Database Administration Management,Computers/Image Processing,Computers/Management Information Systems,Databases - Data Warehousing,Image Processing,Research Methodology,Computers - Other Applications,Computers,Computer Books General,Data capture analysis,Enterprise software,Databases,Information technology general issues,Library, archive information management
Repurposing Legacy Data Innovative Case Studies (Computer Science Reviews and Trends) [Jules J. Berman] on . Repurposing Legacy Data Innovative Case Studies/i takes a look at how data scientists have re-purposed legacy data
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