Хсейки, Хуссам Адаптивная иерархическая структура данных Архивы поиска данных

An Adaptive Hierarchical Data Structure Searching Data Archives: Wavelets, Data structures, Information storage and retrieval systems, and Data mining

Opis:

Product Description

The rapid increase in generating and collecting data with high resolution and recording frequency due to the availability and affordability of measurement technology is resulting in huge data archives that are growing exponentially in size. This explosive growth in accumulated data has generated an urgent need for new techniques and tools that can automatically support engineers and data analysts in transforming the enormous amounts of data into useful information and knowledge. In this book, we introduce a novel method for analyzing multidimensional data sets and discovering index vectors by the use of discontinuity detection. Jumps in data are detected using wavelet coefficients that are calculated dynamically for every level of wavelet coefficients. The discovered index vectors of the analyzed channels (raw data) are related in a dynamic alignment of tree-like structure. Channels are in relation according to a number of variables that are set adaptively such as the allowable average alignment difference between two discontinuity events. This method is implemented and tested against real automotive emission test data.

About the Author

Hussam A. Hseiki, ME: Computer and Communication Engineering at the American University of Beirut, BE: Computer and Electrical Engineering. Project Manager in the Lebanese Army

Okładka: Paperback

Liczba stron:76

Autor:Hseiki, Hussam

Język: English: Published; English: Original Language; English

Data wydania: 2009-06-19

Waga: 0.351 gram

Wysokość: 0.2 cm

Szerokość: 5.9 cm

Długość: 8.7 cm

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