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Algorithms 2018, 11(10), 158; https://doi.org/10.3390/a11100158

Incremental Learning for Classification of Unstructured Data Using Extreme Learning Machine

1
Department of Computer Science and Engineering, SSN College of Engineering, Chennai 603110, India
2
Department of Computer Science and Engineering, PSG College of Technology, Coimbatore 641004, India
*
Author to whom correspondence should be addressed.
Received: 27 September 2018 / Revised: 13 October 2018 / Accepted: 16 October 2018 / Published: 17 October 2018
(This article belongs to the Special Issue Algorithms for Decision Making)
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Abstract

Unstructured data are irregular information with no predefined data model. Streaming data which constantly arrives over time is unstructured, and classifying these data is a tedious task as they lack class labels and get accumulated over time. As the data keeps growing, it becomes difficult to train and create a model from scratch each time. Incremental learning, a self-adaptive algorithm uses the previously learned model information, then learns and accommodates new information from the newly arrived data providing a new model, which avoids the retraining. The incrementally learned knowledge helps to classify the unstructured data. In this paper, we propose a framework CUIL (Classification of Unstructured data using Incremental Learning) which clusters the metadata, assigns a label for each cluster and then creates a model using Extreme Learning Machine (ELM), a feed-forward neural network, incrementally for each batch of data arrived. The proposed framework trains the batches separately, reducing the memory resources, training time significantly and is tested with metadata created for the standard image datasets like MNIST, STL-10, CIFAR-10, Caltech101, and Caltech256. Based on the tabulated results, our proposed work proves to show greater accuracy and efficiency. View Full-Text
Keywords: classification; unstructured data; extreme learning machine; incremental learning; streaming data classification; unstructured data; extreme learning machine; incremental learning; streaming data
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Madhusudhanan, S.; Jaganathan, S.; L S, J. Incremental Learning for Classification of Unstructured Data Using Extreme Learning Machine. Algorithms 2018, 11, 158.

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