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  Author: creativelivenew1   |   19 March 2024   |   Comments icon: 0
Data Structures and Algorithms with the C++ STL
Free Download Data Structures and Algorithms with the C++ STL: A guide for modern C++ practitioners
English | 2024 | ISBN: 1835468551 | 458 Pages | EPUB (True) | 5 MB
While the Standard Template Library (STL) offers a rich set of tools for data structures and algorithms, navigating its intricacies can be daunting for intermediate C++ developers without expert guidance. This book offers a thorough exploration of the STL's components, covering fundamental data structures, advanced algorithms, and concurrency features.

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  Author: creativelivenew1   |   19 March 2024   |   Comments icon: 0
Data Stewardship in Action
Free Download Data Stewardship in Action: A roadmap to data value realization and measurable business outcomes
English | 2024 | ISBN: 1837636591 | 379 Pages | EPUB (True) | 11 MB
In the competitive data-centric world, mastering data stewardship is not just a requirement-it's the key to organizational success. Unlock strategic excellence with Data Stewardship in Action, your guide to exploring the intricacies of data stewardship and its implementation for maximum efficiency.

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  Author: creativelivenew1   |   19 March 2024   |   Comments icon: 0
Data Stewardship in Action A roadmap to data value realization and measurable business outcomes
Free Download Data Stewardship in Action
by Lee, Pui Shing;Charm, Toa;

English | 2024 | ISBN: 1837636591 | 272 pages | True PDF | 17.93 MB

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  Author: creativelivenew1   |   19 March 2024   |   Comments icon: 0
Data Science of Renewable Energy Integration
Free Download Data Science of Renewable Energy Integration: The Nexus of Energy, Environment, and Economic Growth
English | 2024 | ISBN: 9819987784 | 342 Pages | PDF EPUB (True) | 39 MB
This book covers various data scientific approaches to analyze the issue of grid integration of renewable energy for which the grid flexibility is the key to cope with its intermittency. It provides readers with the scope to view renewable energy integration as establishing a distributed energy network instead of the traditional centralized energy system. Specifically, quantitative valuation system-wise of the levelized cost of energy, which includes both initial cost and various operational costs, enables readers to optimize energy systems in order to minimize economic cost and environmental impact. It is noted, however, that the high cost of integrating renewable energy on a large scale might slow economic growth considerably. Topics addressed in the book also include statistical comparative study of the relationship between energy and economic growth, a graphical model of determinant factors for foreign direct investment in renewable energy, the coupled oscillator model and unit commitment model to capture intermittency of renewable energy, and the network model of evolving micro-grids. The book explains desired innovation to reduce the integration cost significantly using innovative technologies such as energy storage with hydrogen production and vehicle-to-grid technology. Illustrated by careful analysis of selected examples of renewable integration using different types of grid flexibility, this volume is indispensable to readers who make policy recommendations to establish the distributed energy network integrated with large-scale renewable energy by disentangling the nexus of energy, environment, and economic growth.

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  Author: creativelivenew1   |   19 March 2024   |   Comments icon: 0
Data Science and Applications, Volume 1
Free Download Data Science and Applications: Proceedings of ICDSA 2023, Volume 1
English | 2024 | ISBN: 9819978610 | 591 Pages | PDF EPUB (True) | 68 MB
This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

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  Author: creativelivenew1   |   19 March 2024   |   Comments icon: 0
Data Mining for Co–location Patterns Principles and Applications
Free Download Data Mining for Co-location Patterns: Principles and Applications
English | 2022 | ISBN: 0367654261 | 317 Pages | EPUB (True) | 11 MB
Co-location pattern mining detects sets of features frequently located in close proximity to each other. This book focuses on data mining for co-location pattern, a valid method for identifying patterns from all types of data and applying them in business intelligence and analytics. It explains the fundamentals of co-location pattern mining, co-location decision tree, and maximal instance co-location pattern mining along with an in-depth overview of data mining, machine learning, and statistics. This arrangement of chapters helps readers understand the methods of co-location pattern mining step-by-step and their applications in pavement management, image classification, geospatial buffer analysis, etc.

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  Author: creativelivenew1   |   19 March 2024   |   Comments icon: 0
Data Management Solutions Using SAS Hash Table Operations A Business Intelligence Case Study
Free Download Data Management Solutions Using SAS Hash Table Operations: A Business Intelligence Case Study By Paul Dorfman; Don Henderson
2018 | 400 Pages | ISBN: 1629601438 | PDF | 6 MB
Hash tables can do a lot more than you might think! Data Management Solutions Using SAS® Hash Table Operations: A Business Intelligence Case Study concentrates on solving your challenging data management and analysis problems via the power of the SAS hash object, whose environment and tools make it possible to create complete dynamic solutions. To this end, this book provides an in-depth overview of the hash table as an in-memory database with the CRUD (Create, Retrieve, Update, Delete) cycle rendered by the hash object tools. By using this concept and focusing on real-world problems exemplified by sports data sets and statistics, this book seeks to help you take advantage of the hash object productively, in particular, but not limited to, the following tasks: select proper hash tools to perform hash table operations use proper hash table operations to support specific data management tasks use the dynamic, run-time nature of hash object programming understand the algorithmic principles behind hash table data look-up, retrieval, and aggregation learn how to perform data aggregation, for which the hash object is exceptionally well suited manage the hash table memory footprint, especially when processing big data use hash object techniques for other data processing tasks, such as filtering, combining, splitting, sorting, and unduplicating. Using this book, you will be able to answer your toughest questions quickly and in the most efficient way possible!

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  Author: creativelivenew1   |   19 March 2024   |   Comments icon: 0
Data Cleaning with Power BI
Free Download Data Cleaning with Power BI: The definitive guide to transforming dirty data into actionable insights
English | 2024 | ISBN: 1805126407 | 340 Pages | EPUB | 19 MB
This book serves as a comprehensive guide to data cleaning, starting with data quality, common data challenges, and best practices for handling data. You'll learn how to import and clean data with Query Editor and transform data using the M query language. As you advance, you'll explore Power BI's data modeling capabilities for efficient cleaning and establishing relationships. Later chapters cover best practices for using Power Automate for data cleaning and task automation. Finally, you'll discover how OpenAI and ChatGPT can make data cleaning in Power BI easier.

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  Author: creativelivenew1   |   19 March 2024   |   Comments icon: 0
Data Analytics and Learning
Free Download Data Analytics and Learning: Proceedings of DAL 2022
English | 2024 | ISBN: 9819963451 | 265 Pages | PDF EPUB (True) | 62 MB
This book presents new theories and working models in the areas of data analytics and learning. The papers included in this volume were presented at the second International Conference on Data Analytics and Learning (DAL 2022), which was organized by the Department of Computer Science & Engineering, Alva's Institute of Engineering & Technology, Moodbidri, Mangalore, Karnataka, India in association with the Department of Studies in Computer Science, University of Mysore, Mysuru, Karnataka, India. The areas covered include pattern recognition, image processing, deep learning, computer vision, data analytics, machine learning, artificial intelligence, and intelligent systems.

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  Author: creativelivenew1   |   19 March 2024   |   Comments icon: 0
Das tschechisch–deutsche Drama 1918–1939
Free Download Das tschechisch-deutsche Drama 1918-1939 By Schultze-Rhonhof, Gerd
2011 | 435 Pages | ISBN: 3789283657 | PDF | 5 MB
Die Besetzung der Tschechei durch deutsche Truppen von 1939 bis 1945 und die anschließende Vertreibung der Sudetendeutschen von 1945 bis 1946 werden heutzutage gemeinhin als das 'tschechischdeutsche Drama des 20. Jahrhunderts' wahrgenommen. Die Zeit davor löst sich im Nebel des Vergessens auf, dennoch strahlen diese Jahre bis 1939 auf die Zukunft ganz Europas aus: Es sind die Ereignisse jener Zeit, die direkt in den Zweiten Weltkrieg führen. Deshalb ist das tschechisch-deutsche Verhältnis von 1918 bis 1939 ein entscheidender und schicksalhafter Abschnitt der deutschen Geschichte. Der Autor des Buches '1939 - Der Krieg, der viele Väter hatte' untersucht nun, wie das Geschehen in der Tschechoslowakei von 1918 bis 1939 den Marsch in den Zweiten Weltkrieg ausgelöst hat. Er zeichnet ein differenziertes Bild des Vielvölkerstaats mit seinen sieben Sprachnationen und den sechs Millionen Minderheitenbürgern, die 1938 und 39 diesen Staat verlassen wollten. Er lässt dabei immer wieder sowohl die damals lebenden Slowaken, Tschechen und Ruthenen als auch die Sudetendeutschen zu Wort kommen, so dass sich der Leser ein eigenes Urteil bilden kann.

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