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The text is an introduction to data structures, files and databases appropriate for use as a second year BSc Computing text, or for the;
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This book's purpose is to enable educational researchers to make better use of the huge longitudinal and cross-sectional data files that;
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At your fingertips--valuable examples that will reduce your programming time! Reading External Data Files Using SAS: Examples Handbook;
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types of files Salient Features: Concise presentation of data structures with solved and programming problems How to write an algorithm and its;
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The many and powerful data structures for representing information physically (in contrast to a database management system that represents;
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: Part I details advancements on basic data structures, viz., cuckoo hashing, skip list, tango tree and Fibonacci heaps and index files;
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Create classic data structures and algorithms such as depth-first search and breadth-first search, learn recursion, as well as create and;
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, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using;
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, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using;
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other common library tasks; understand data formats, delimited text and CSV files, XML, JSON, scripting, and other key components of data;
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to mine structures from massive text data, without extensive human annotation and labeling. In this book, we investigate the principles and;
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Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book;
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timers, a survey of strategies for tuning algorithms and data structures, a cookbook of methods for generating random combinatorial inputs, and a;
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Advanced Data Structures presents a comprehensive look at the ideas, analysis, and implementation details of data structures as a;
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data and tools to manage the analysis of large data sets (Big Data) using Excel. Includes companion files with solution spreadsheets, sample;
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The Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by;
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The Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by;
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, and the Entity Framework for database data, LINQ for data structures like arrays and collections, and XML files to store and exchange data. It;
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This text closely examines ideas, analysis, and implementation details of data structures as a specialised topic in applied algorithms. It;
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, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the;
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, recursion, data abstraction, and generic data structures. Appropriate for sophomore level data structures courses that use C, taking advantage;
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DATA STRUCTURES THROUGH C++ discusses concepts with implementations in a way that is easy use for both undergraduate and postgraduate;
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of data structures for sequences (lists), queues, priorityqueues, unordered dictionaries, ordered dictionaries, and graphs.Focusing on a;
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This book constitutes the refereed proceedings of the 14th Algorithms and Data Structures Symposium, WADS 2015, held in Victoria, BC;
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transitions students into the study of applied algorithms. This creates a bridge to subsequent courses in advanced data structures and algorithms.;
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Explore Golang's data structures and algorithms to design, implement, and analyze code in the professional setting Key Features Learn the;
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prerequisites of data structures, algorithms, or other courses. This makes the material accessible to students early in their educational career and;
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