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Towards Algorithmic Accountability in Data Mining
Increasingly, machine learning and data mining techniques are being used in making crucial decisions in our daily lives ranging from credit card approvals to employment decisions. Despite the existing eﬀort of explaining ...
Novel Class Detection and Cross-Lingual Duplicate Detection over Online Data Stream
Data streams are continuous flows of data points. They are very common now-a-days in several domains such as e-commerce, education, health, security, and social networks. Their sheer volume and throughput speed pose a great ...
Design and Development of Real-Time Big Data Analytics Frameworks
Today most sophisticated technologies such as Internet of Things (IoT), autonomous driving, Cloud, data center consolidation, etc., demand smarter IT infrastructure and real-time operations. They continuously generate lots ...
Bayesian Nonparametric Probabilistic Methods in Machine Learning
Many aspects of modern science, business and engineering have become data-centric, relying on tools from Artificial Intelligence and Machine Learning. Practitioners and researchers in these fields need tools that can ...