Electronic data processing.
Overview
| Works: | 142 works in 47 publications in 47 languages | |
|---|---|---|
Titles
How to plan, develop & use information systems : = a guide to making computers do what you want /
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Introduction to computer science : = programming and problem solving with PASCAL /
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Discovering computers 2002 : = concepts for a digital world : Web enhanced : complete /
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Information Processing with Evolutionary Algorithms = From Industrial Applications to Academic Speculations /
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The language of ICT : = information and communication technology /
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Advances in multimedia and network information system technologies
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System modeling and optimization = 26th IFIP TC 7 Conference, CSMO 2013, Klagenfurt, Austria, September 9-13, 2013 : revised selected papers /
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Data as a service = a framework for providing reusable enterprise data services /
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Learning and intelligent optimization = 10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016 : revised selected papers /
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Uncertainty modeling = dedicated to Professor Boris Kovalerchuk on his anniversary /
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Sentiment analysis in the bio-medical domain = techniques, tools, and applications /
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Innovative methods, user-friendly tools, coding, and design approaches in people-oriented programming
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Research on Tibetan spelling formal language and automata with application
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Data mashup with Microsoft Excel using Power Query and M = finding, transforming, and loading data from external sources /
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New methods and tools for intelligent data processing and information security systems
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Network science models for data analytics automation = theories and applications /
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The Azure data lakehouse toolkit = building and scaling data lakehouses on azure with Delta Lake, Apache Spark, Databricks, Synapse Analytics, and Snowflake /
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Data science : foundations and hands-on experience = handling economic, spatial, and multidimensional data with R /
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Ultimate computing : = biomolecular consciousness and nanotechnology /
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How to design programs : = an introduction to programming and computing /
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Growing with technology : = activities in action, powered by Lesson Express. Blue level /
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An introduction to scientific, symbolic, and graphical computation /
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Computer information systems development : = principles and case study /
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An Introduction to computers and information processing : = (formerly Principles of data processing) /
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Budgeting : = technology, trends, software selection, and implementation /
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Evolving the high performance computing and communications initiative to support the nation's information infrastructure
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Information disparity = research and measurement challenges in an interconnected world /
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Machine Learning Models and Algorithms for Big Data Classification = Thinking with Examples for Effective Learning /
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Research methodologies and ethical challenges in digital migration studies = caring for (big) data? /
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Practical data science with Jupyter = explore data cleaning, pre-processing, data wrangling, feature engineering and machine learning using Python and Jupyter /
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Handbook of computational sciences = a multi and interdisciplinary approach /
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Essential data analytics, data science, and AI = a practical guide for a data-driven world /
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Probability and statistics : = for engineering and the computing sciences /
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