Поиск по каталогу |
(строгое соответствие)
|
- Профессиональная
- Научно-популярная
- Художественная
- Публицистика
- Детская
- Искусство
- Хобби, семья, дом
- Спорт
- Путеводители
- Блокноты, тетради, открытки
Software Application for Automated Transcript Analysis.
В наличии
Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Lopamudra Nayak and Natarajan Meghanathan
ISBN: 9783659316760
Год издания: 2013
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 80
Издательство: LAP LAMBERT Academic Publishing
Цена: 28323 тг
Положить в корзину
Позиции в рубрикаторе
Отрасли знаний:Код товара: 117564
Способы доставки в город Алматы * комплектация (срок до отгрузки) не более 2 рабочих дней |
Самовывоз из города Алматы (пункты самовывоза партнёра CDEK) |
Курьерская доставка CDEK из города Москва |
Доставка Почтой России из города Москва |
Аннотация: In this book, we present the design and development of a software application to automate transcript analysis and pre-requisite verification during course registration, which is a significantly time-consuming and error-prone activity when done manually. The first set of chapters present the theory behind the software: an innovative Reverse Hierarchical Search (RHS) algorithm proposed by us, for directed-acyclic graphs (DAG) and trees. Given a priori knowledge about the purpose of the data structure, the RHS DAG/tree can be appropriately constructed (for node insertion) to efficiently search an element in a reverse hierarchical order. All nodes that are found in the search path are added to the solution space. To avoid crowding the solution space with revisited nodes, any previously visited node information is re-used and duplicity of nodes is prevented. RHS performs better than the conventional Depth First Search algorithm by avoiding path retracing. The second set of chapters present in detail all the phases of the development life cycle, including an analysis of the security features of the software. The application is developed in Java, with MS Access as the database back end.
Ключевые слова: Software Development, Algorithm Design, Tree Traversal, Hierarchical Search, Application Security