Publications | Dr. Chris Mattmann

Tika in Action

The ultimate guide to content mining using Apache Tika. You’ll learn how to pull usable information from otherwise inaccessible sources, including internet media and file archives. This example-rich book teaches you to build and extend applications based on real-world experience with search engines, digital asset management, and scientific data processing. In addition to architectural overviews, you’ll find detailed chapters on features like metadata extraction, automatic language detection, and custom parser development.

Machine Learning with TensorFlow, Second Edition

A fully revised guide to building machine learning models using Python and TensorFlow. You’ll apply core ML concepts to real-world challenges, such as sentiment analysis, text classification, and image recognition. Hands-on examples illustrate neural network techniques for deep speech processing, facial identification, and auto-encoding with CIFAR-10.

Selected Publications

Mattmann, Chris A. “Computing: A vision for data science.” Nature 493.7433 (2013): 473.
Mattmann, Chris A., et al. “A software architecture-based framework for highly distributed and data intensive scientific applications.” Proceedings of the 28th international conference on Software engineering. ACM, 2006.
Mattmann, Chris, and Jukka Zitting. Tika in action. Manning Publications Co., 2011.
Mattmann, Chris A., et al. “Revisiting the Anatomy and Physiology of the Grid.” Journal of Grid Computing 13.1 (2015): 19-34.
Mattmann, Chris A., and Madhav Sharan. “Scalable Hadoop-based pooled time series of big video data from the deep web.” Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval. ACM, 2017.
Khalsa, Siri Jodha S., Chris A. Mattmann, and Ruth Duerr. “Deep web crawling for insights from polar data.” 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017.
Gowda, Thamme, Kyle Hundman, and Chris A. Mattmann. “An approach for automatic and large scale image forensics.” Proceedings of the 2nd International Workshop on Multimedia Forensics and Security. ACM, 2017.

See http://nasa-jpl-memex.github.io and scholar.google.com/citations?hl=en&user=mJB-HiIAAAAJ for a more comprehensive list.