By Himansu Sekhar Behera, Durga Prasad Mohapatra
The publication is a suite of top quality peer-reviewed examine papers offered within the moment overseas convention on Computational Intelligence in info Mining (ICCIDM 2015) held at Bhubaneswar, Odisha, India in the course of five – 6 December 2015. The two-volume complaints tackle the problems and demanding situations for the seamless integration of 2 center disciplines of computing device technology, i.e., computational intelligence and knowledge mining. The e-book addresses assorted tools and methods of integration for boosting the general objective of information mining. The publication is helping to disseminate the information approximately a few leading edge, energetic learn instructions within the box of information mining, computer and computational intelligence, besides a few present matters and functions of comparable topics.
Read or Download Computational Intelligence in Data Mining—Volume 1: Proceedings of the International Conference on CIDM, 5-6 December 2015 PDF
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Additional resources for Computational Intelligence in Data Mining—Volume 1: Proceedings of the International Conference on CIDM, 5-6 December 2015
J. Autom. Control Eng. (JOACE) 3(2) (2015) 2. : Ear recognition using kernel based algorithm. Int. J. Sci. Eng. Technol. Res. (IJSETR) 3(4) (2014) 3. : Person recognition using multimodal biometrics. Int. J. Emerg. Technol. Adv. Eng. ISSN:2250–2459; ISO 9001:2008 Certiﬁed Journal, 4(4) (2014) 4. : 2D-3D face recognition method based on a modiﬁed CCA-PCA Algorithms (2014). 5772/58251 A Novel Approach for Biometric Authentication System … 11 5. , Rajni: Face recognition based on PCA algorithm using simulink in matlab.
Doc ﬁles and work with JSON like Objects called BSON . MongoDB is a Full-Featured database because it supports rich querying, Implementation of Data Analytics for MongoDB … 41 real time aggregation, traditionally consistent. Others features are fully-consistent reads, secondary indexes, atomic write and query language . MongoDB offers very flexible and dynamic schema to store documents in JSON format . Arrays within other documents and embedding of documents are supported by MongoDB BSON [10–12].
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