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What is Apache Mahout

Handbook of Research on Big Data Storage and Visualization Techniques
Project of the Apache Software Foundation to produce free implementations of distributed or scalable machine learning algorithms focused in the areas of collaborative filtering, clustering and classification. These implementations use the Apache Hadoop platform (Wikipedia, 2016 AU121: The in-text citation "Wikipedia, 2016" is not in the reference list. Please correct the citation, add the reference to the list, or delete the citation. ).
Published in Chapter:
The Image as Big Data Toolkit: An Application Case Study in Image Analysis, Feature Recognition, and Data Visualization
Kerry E. Koitzsch (Kildane Software Technologies Inc., USA)
DOI: 10.4018/978-1-5225-3142-5.ch018
Abstract
This chapter is a brief introduction to the Image As Big Data Toolkit (IABDT), a Java-based open source framework for performing a variety of distributed image processing and analysis tasks. IABDT has been developed over the last two years in response to the rapid evolution of Big Data architectures and technologies, distributed and image processing systems. This chapter presents an architecture for image analytics that uses Big Data storage and compression methods. A sample implementation of our image analytic architecture called the Image as Big Data Toolkit (IABDT) addresses some of the most frequent challenges experienced by the image analytics developer. Baseline applications developed with IABDT, status of the toolkit and directions for future extension with emphasis on image display, presentation, and reporting case studies are discussed to motivate our design and technology stack choices. Sample applications built using IABDT, as well as future development plans for IABDT are discussed.
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