Big data, little data, no data : scholarship in the networked world / by Borgman, Christine L., 1951-

Table of Contents: “…Provocations -- What are data? -- Data scholarship -- Data diversity -- Data scholarship in the sciences -- Data scholarship in the social sciences -- Data scholarship in the humanities -- Sharing, releasing, and reusing data -- Credit, attribution, and discovery of data -- What to keep and why to keep them.…”
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Big data, little data, no data : scholarship in the networked world / by Borgman, Christine L., 1951-

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Data resource data : a comprehensive data resource understanding / by Brackett, Michael H.

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Big data, open data and data development / by Monino, Jean-Louis, Sedkaoui, Soraya

Table of Contents: “…Table of Contents -- Title -- Copyright -- Acknowledgements -- Foreword -- Key Concepts -- Introduction -- I.1. The power of data -- I.2. The rise of buzzwords related to "data" (Big, Open, Viz) -- I.3. …”
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Big data, open data and data development / by Monino, Jean-Louis, Sedkaoui, Soraya

Table of Contents: “…Table of Contents -- Title -- Copyright -- Acknowledgements -- Foreword -- Key Concepts -- Introduction -- I.1. The power of data -- I.2. The rise of buzzwords related to data (Big, Open, Viz) -- I.3. …”
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Data security, data mining, and data management : technologies and challenges /

Table of Contents: “…Clustering algorithms in radiobiology and DNA damage quantification / Ziad Francis and Agnieszka Stypczynska -- Data mining for genomic information / P.D. Freitas and C.A. …”
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Data : emerging trends and technologies : how sensors, fast networks, AI, and distributed computing are affecting the data landscape / by Croll, Alistair

Subjects: “…Electronic data processing Management.…”
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Data by Bechmann, Anja

Subjects: “…Data privacy.…”
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Data.

“…Data (Online)…”
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Data analytics and big data / by Sedkaoui, Soraya

Table of Contents: “…Towards an understanding of big data: Are you ready? -- From data to big data: you must walk before you can run -- Big data: a revolution that changes the game -- Part 2. …”
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Data engineering and data science : concepts and applications /

Table of Contents: “…Front Matter -- Quality Assurance in Data Science / KS Jasmine, D K Ajay, Aditya Raj -- Design and Implementation of Social Media Mining - Knowledge Discovery Methods for Effective Digital Marketing Strategies / Prashant Bhat, Pradnya Malaganve -- A Study on Big Data Engineering Using Cloud Data Warehouse / T N Manjunath, S K Pushpa, Ravindra S Hegadi, K S Ananya Hathwar -- Data Mining with Cluster Analysis Through Partitioning Approach of Huge Transaction Data / K Sampath Kini, BH Karthik Pai -- Application of Data Science in Macromodeling of Nonlinear Dynamical Systems / S Nagaraj, D Seshachalam, G Jayalatha -- Comparative Analysis of Various Ensemble Approaches for Web Page Classification / J Dutta, Yong Woon Kim, Dalia Dominic -- Feature Engineering and Selection Approach Over Malicious Image / PM Kavitha, B Muruganantham -- Cubic-Regression and Likelihood Based Boosting GAM to Model Drug Sensitivity for Glioblastoma / Satyawant Kumar, Vinai George Biju, Ho-Kyoung Lee, Blessy Baby Mathew -- Unobtrusive Engagement Detection through Semantic Pose Estimation and Lightweight ResNet for an Online Class Environment / Michael Moses Thiruthuvanathan, Balachandran Krishnan, Madhavi Rangaswamy -- Building Rule Base for Decision Making - A Fuzzy-Rough Approach / M K Sabu, M S Neeraj Krishna, R Reshmi -- An Effective Machine Learning Approach to Model Healthcare Data / Shaila H Koppad, S Anupama Kumar, Mohan Kumar -- Recommendation Engine for Retail Domain Using Machine Learning Techniques / K T Chandrashekhara, C N Gireesh Babu, M Thungamani -- Mining Heterogeneous Lung Cancer from Computer Tomography (CT) Scan with the Confusion Matrix / Denny Dominic, Krishnan Balachandran -- ML Algorithms and Their Approach on COVID-19 Data Analysis / Kambaluru Ashok, Penumalli Anvesh Reddy, Kukatlapalli Pradeep Kumar -- Analysis and Design for the Early Stage Detection of Lung Diseases Using Machine Learning Algorithms / Sindhu Madhuri, T R Mahesh, V Vivek, H K Shashikala, C Saravanan -- Estimation of Cancer Risk through Artificial Neural Network / K Aditya Shastry, H A Sanjay, N Balaji, B H Karthik Pai -- Applications and Advancements in Data Science and Analytics / T Mamatha, A Balaram, B Rama Subba Reddy, C Shoba Bindu, M Niranjanamurthy -- About the Editors -- Index -- Also of Interest…”
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Data observability for data engineering : ensure and monitor data accuracy, prevent and resolve broken data pipelines with actionable steps / by Pinto, Michele, Khammal, Sammy El

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Data engineering and data science : concepts and applications /

Table of Contents: “…Front Matter -- Quality Assurance in Data Science / KS Jasmine, D K Ajay, Aditya Raj -- Design and Implementation of Social Media Mining - Knowledge Discovery Methods for Effective Digital Marketing Strategies / Prashant Bhat, Pradnya Malaganve -- A Study on Big Data Engineering Using Cloud Data Warehouse / T N Manjunath, S K Pushpa, Ravindra S Hegadi, K S Ananya Hathwar -- Data Mining with Cluster Analysis Through Partitioning Approach of Huge Transaction Data / K Sampath Kini, BH Karthik Pai -- Application of Data Science in Macromodeling of Nonlinear Dynamical Systems / S Nagaraj, D Seshachalam, G Jayalatha -- Comparative Analysis of Various Ensemble Approaches for Web Page Classification / J Dutta, Yong Woon Kim, Dalia Dominic -- Feature Engineering and Selection Approach Over Malicious Image / PM Kavitha, B Muruganantham -- Cubic-Regression and Likelihood Based Boosting GAM to Model Drug Sensitivity for Glioblastoma / Satyawant Kumar, Vinai George Biju, Ho-Kyoung Lee, Blessy Baby Mathew -- Unobtrusive Engagement Detection through Semantic Pose Estimation and Lightweight ResNet for an Online Class Environment / Michael Moses Thiruthuvanathan, Balachandran Krishnan, Madhavi Rangaswamy -- Building Rule Base for Decision Making - A Fuzzy-Rough Approach / M K Sabu, M S Neeraj Krishna, R Reshmi -- An Effective Machine Learning Approach to Model Healthcare Data / Shaila H Koppad, S Anupama Kumar, Mohan Kumar -- Recommendation Engine for Retail Domain Using Machine Learning Techniques / K T Chandrashekhara, C N Gireesh Babu, M Thungamani -- Mining Heterogeneous Lung Cancer from Computer Tomography (CT) Scan with the Confusion Matrix / Denny Dominic, Krishnan Balachandran -- ML Algorithms and Their Approach on COVID-19 Data Analysis / Kambaluru Ashok, Penumalli Anvesh Reddy, Kukatlapalli Pradeep Kumar -- Analysis and Design for the Early Stage Detection of Lung Diseases Using Machine Learning Algorithms / Sindhu Madhuri, T R Mahesh, V Vivek, H K Shashikala, C Saravanan -- Estimation of Cancer Risk through Artificial Neural Network / K Aditya Shastry, H A Sanjay, N Balaji, B H Karthik Pai -- Applications and Advancements in Data Science and Analytics / T Mamatha, A Balaram, B Rama Subba Reddy, C Shoba Bindu, M Niranjanamurthy -- About the Editors -- Index -- Also of Interest…”
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Data warehousing and data mining /

Subjects: “…Data warehousing.…”
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Data Analysis and Data Mining : an Introduction. by Azzalini, Adelchi

Table of Contents: “…Concepts of linear models; Appendix B: Data Sets; B.1. Simulated data; B.2. Car data; B.3. …”
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Research data management and data literacies / by Tibor, Koltay

Subjects: “…Research Data processing.…”
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Master data management and data governance / by Berson, Alex

Table of Contents: “…Introduction to master data management -- pt. 2. Architectural considerations -- pt. 3. …”
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Data warehousing in the age of big data / by Krishnan, Krish

Table of Contents: “…Part 1 -- Big Data Chapter 1 -- Introduction to Big Data Chapter 2 -- Complexity of Big Data Chapter 3 -- Big Data Processing Architectures Chapter 4 -- Big Data Technologies Chapter 5 -- Big Data Business Value Part 2 -- The Data Warehouse Chapter 6 -- Data Warehouse Chapter 7 -- Re-Engineering the Data Warehouse Chapter 8 -Workload Management in the Data Warehouse Chapter 9 -- New Technology Approaches Part 3 -- Extending Big Data into the Data Warehouse Chapter 10 -- Integration of Big Data and Data Warehouse Chapter 11 -- Data Driven Architecture Chapter 12 -- Information Management and Lifecycle Chapter 13 -- Big Data Analytics, Visualization and Data Scientist Chapter 14 -- Implementing The "Big Data" Data Warehouse Appendix A -- Customer Case Studies From Vendors Appendix B -- Building The HealthCare Information Factory.…”
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Data science and big data analytics : discovering, analyzing, visualizing and presenting data /

Table of Contents: “…1. Introduction to big data analytics -- 2. Data analytics lifecycle -- 3. …”
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From big data to smart data / by Iafrate, Fernando

Table of Contents: “…In sum; 1: What is Big Data?; 1.1. The four "V"s characterizing Big Data; 1.1.1. …”
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