KDD

Adversarial Learning and Zeroth Order Optimization for Machine Learning and Data Mining

There is a growing number of adversarial attacks and nefarious behaviors aimed at AI systems. To combat this, IBM Research AI will present multiple papers that yield new scientific discoveries and recommendations related to adversarial learning at KDD 2019.

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IBM Research AI at KDD 2019

At KDD 2019, IBM Research AI will present technical papers describing the latest results in deep learning for graphs, adversarial learning, text understanding, and data science for healthcare, financial crimes, and scientific discovery.

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An End-to-End Approach for Scaling Up Spectral Clustering

Clustering is one of the most fundamental problems in machine learning and data mining tasks, such as image segmentation, power load clustering, and community detection for social networks. But well-known clustering techniques like K-Means, which is based on Euclidean proximity, may not be capable of clustering data that lies on a high-dimensional manifold, as illustrated […]

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Corpus Conversion Service Makes PDF Content Discoverable

This week, my team from IBM Research will debut a massively scalable document ingestion system, the Corpus Conversion Service, at the prestigious ACM Conference on Knowledge Discovery and Data Mining (KDD 2018) in London. Our AI-based cloud system can ingest 100,000 PDF pages per day (even of scanned documents) on a single blade server with […]

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FEED 2018: Applying Data Analytics to Earth and Environmental Science

The workshop Fragile Earth: Theory Guided Data Science to Enhance Scientific Discovery (FEED 2018) will take place August 20, as part of the Knowledge Discovery and Data mining conference (KDD 2018) in London. The FEED 2018 co-chairs and -organizers all welcome you to join us! FEED 2018 will bring together the research, industry, and policy […]

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Advancing Knowledge Discovery at KDD 2018

The annual Association for Computing Machinery (ACM) Knowledge Discovery and Data mining conference (KDD 2018) takes place August 19–23, 2018, in London, UK. The interdisciplinary conference brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data with two tracks: Research Track and Applied Data Science Track. IBM […]

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