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Transactions on Large-Scale Data- and Knowledge-Centered Systems I

Posted By: AvaxGenius
Transactions on Large-Scale Data- and Knowledge-Centered Systems I

Transactions on Large-Scale Data- and Knowledge-Centered Systems I by Abdelkader Hameurlain, Josef Küng, Roland Wagner
English | PDF | 2009 | 381 Pages | ISBN : 3642037216 | 8.3 MB

Data management, knowledge discovery, and knowledge processing are core and hot topics in computer science. They are widely accepted as enabling technologies for modern enterprises, enhancing their performance and their decision making processes. Since the 1990s the Internet has been the outstanding driving force for application development in all domains. An increase in the demand for resource sharing (e. g. , computing resources, s- vices, metadata, data sources) across different sites connected through networks has led to an evolvement of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications prov- ing high scalability.

Peer-to-Peer Data Management

Posted By: AvaxGenius
Peer-to-Peer Data Management

Peer-to-Peer Data Management by Karl Aberer
English | PDF(True) | 2011 | 152 Pages | ISBN : 1608457192 | 5.22 MB

This lecture introduces systematically into the problem of managing large data collections in peer-to-peer systems. Search over large datasets has always been a key problem in peer-to-peer systems and the peer-to-peer paradigm has incited novel directions in the field of data management. This resulted in many novel peer-to-peer data management concepts and algorithms, for supporting data management tasks in a wider sense, including data integration, document management and text retrieval. The lecture covers four different types of peer-to-peer data management systems that are characterized by the type of data they manage and the search capabilities they support.

Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, and pandas (Repost)

Posted By: AvaxGenius
Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, and pandas (Repost)

Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, and pandas by William Parker
English | EPUB | 2021 | 469 Pages | ISBN : 1803241667 | 7 MB

Get well versed with the core concepts of ArcGIS Pro through hands-on exercises and real-world case studies
Key FeaturesMaster the core components of arcpy for ArcGIS Pro and how to use the ArcGIS API for Python for ArcGIS OnlineGet practical expertise on each topic with hands-on exercises in every chapter and real-world case studies at the end of the bookUnderstand concepts with respect to Jupyter Notebooks integrated throughout the bookFocus on data science using Pandas, SciPy, and ArcGIS Pro for raster and vector analysis
Irrespective of one’s level of expertise with Esri software, a good command of Python is necessary to drive a geospatial environment. Python proficiency makes even an experienced user of Esri technology/software 5–10-times as valuable as a non-coding GIS analyst. Python for ArcGIS Pro explains how to incorporate scripting at each step from mapping to data science, databases, and data services.

Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, and pandas (Repost)

Posted By: AvaxGenius
Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, and pandas (Repost)

Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, and pandas by William Parker
English | EPUB | 2021 | 469 Pages | ISBN : 1803241667 | 7 MB

Get well versed with the core concepts of ArcGIS Pro through hands-on exercises and real-world case studies
Key FeaturesMaster the core components of arcpy for ArcGIS Pro and how to use the ArcGIS API for Python for ArcGIS OnlineGet practical expertise on each topic with hands-on exercises in every chapter and real-world case studies at the end of the bookUnderstand concepts with respect to Jupyter Notebooks integrated throughout the bookFocus on data science using Pandas, SciPy, and ArcGIS Pro for raster and vector analysis
Irrespective of one’s level of expertise with Esri software, a good command of Python is necessary to drive a geospatial environment. Python proficiency makes even an experienced user of Esri technology/software 5–10-times as valuable as a non-coding GIS analyst. Python for ArcGIS Pro explains how to incorporate scripting at each step from mapping to data science, databases, and data services.

Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, and pandas (Repost)

Posted By: AvaxGenius
Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, and pandas (Repost)

Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, and pandas by William Parker
English | EPUB | 2021 | 469 Pages | ISBN : 1803241667 | 7 MB

Get well versed with the core concepts of ArcGIS Pro through hands-on exercises and real-world case studies
Key FeaturesMaster the core components of arcpy for ArcGIS Pro and how to use the ArcGIS API for Python for ArcGIS OnlineGet practical expertise on each topic with hands-on exercises in every chapter and real-world case studies at the end of the bookUnderstand concepts with respect to Jupyter Notebooks integrated throughout the bookFocus on data science using Pandas, SciPy, and ArcGIS Pro for raster and vector analysis
Irrespective of one’s level of expertise with Esri software, a good command of Python is necessary to drive a geospatial environment. Python proficiency makes even an experienced user of Esri technology/software 5–10-times as valuable as a non-coding GIS analyst. Python for ArcGIS Pro explains how to incorporate scripting at each step from mapping to data science, databases, and data services.

Encyclopedia of Big Data Technologies (Repost)

Posted By: AvaxGenius
Encyclopedia of Big Data Technologies (Repost)

Encyclopedia of Big Data Technologies by Sherif Sakr
English | EPUB | 2019 | 1853 Pages | ISBN : 3319775243 | 109.8 MB

The Encyclopedia of Big Data Technologies provides researchers, educators, students and industry professionals with a comprehensive authority over the most relevant Big Data Technology concepts. With over 300 articles written by worldwide subject matter experts from both industry and academia, the encyclopedia covers topics such as big data storage systems, NoSQL database, cloud computing, distributed systems, data processing, data management, machine learning and social technologies, data science.

Benchmarking, Measuring, and Optimizing (Repost)

Posted By: AvaxGenius
Benchmarking, Measuring, and Optimizing (Repost)

Benchmarking, Measuring, and Optimizing: First BenchCouncil International Symposium, Bench 2018, Seattle, WA, USA, December 10-13, 2018, Revised Selected Papers by Chen Zheng
English | PDF | 2019 | 267 Pages | ISBN : 3030328120 | 19.8 MB

This book constitutes the refereed proceedings of the First International Symposium on Benchmarking, Measuring, and Optimization, Bench 2018, held in Seattle, WA, USA, in December 2018.

Databases Theory and Applications

Posted By: AvaxGenius
Databases Theory and Applications

Databases Theory and Applications: 32nd Australasian Database Conference, ADC 2021, Dunedin, New Zealand, January 29 – February 5, 2021, Proceedings by Miao Qiao
English | PDF | 2021 | 231 Pages | ISBN : 3030693767 | 18.6 MB

This book constitutes the refereed proceedings of the 32nd Australasian Database Conference, ADC 2021, held in Dunedin, New Zealand, in January/February 2021.

Praxishandbuch Forschungsdatenmanagement

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Praxishandbuch Forschungsdatenmanagement

Praxishandbuch Forschungsdatenmanagement by Markus Putnings
Deutsch | PDF | 2021 | 596 Pages | ISBN : 3110653656 | 16.4 MB

Aktuelle Geschehnisse wie das Inkrafttreten des Kodex "Leitlinien zur Sicherung guter wissenschaftlicher Praxis der Deutschen Forschungsgemeinschaft (DFG) oder der Aufbau der Nationalen Forschungsdateninfrastruktur (NFDI) und der European Open Science Cloud (EOSC) stellen Anbietende, Produzierende und Nutzende von Forschungsdaten vor fachwissenschaftliche, technische, rechtliche und organisatorische Herausforderungen. Das Praxishandbuch Forschungsdatenmanagement behandelt umfassend alle relevanten Aspekte des Forschungsdatenmanagements und der derzeitigen Rahmenbedingungen im Datenökosystem.

Innovation and Interdisciplinary Solutions for Underserved Areas (Repost)

Posted By: AvaxGenius
Innovation and Interdisciplinary Solutions for Underserved Areas (Repost)

Innovation and Interdisciplinary Solutions for Underserved Areas: First International Conference, InterSol 2017 and Sixth Collogue National sur la Recherche en Informatique et ses Applications, CNRIA 2017, Dakar, Senegal, April 11–12, 2017, Proceedings By Cheikh M. F. Kebe
English | PDF,EPUB | 2018 | 335 Pages | ISBN : 3319729640 | 38.8 MB

This book constitutes the refereed post-conference proceedings of the First International Conference on Innovation and Interdisciplinary Solutions for Underserved Areas, InterSol 2017, and the 6th Collogue National sur la Recherche en Informatique et ses Applications (CNRIA), held in Dakar, Senegal, in April 2017.

Future Internet Technologies and Trends (Repost)

Posted By: AvaxGenius
Future Internet Technologies and Trends (Repost)

Future Internet Technologies and Trends: First International Conference, ICFITT 2017, Surat, India, August 31 - September 2, 2017, Proceedings by Zuber Patel
English | EPUB | 2018 | 285 Pages | ISBN : 3319737112 | 6.4 MB

This book constitutes the refereed proceedings of the First International Conference on Future Internet Technologies and Trends, ICFITT 2017, held in Surat, India, August 31 – September 2, 2017. The 28 full papers were selected from 66 submissions and present next generation requirements for extremely high speed data communications, IoT, security, broadband technology, cognitive radio, vehicular technology, gigabit wireless networks, data management and big data