Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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19 results at Big Data 2019

DQA: Scalable, Automated and Interactive Data Quality Advisor
- - Shrey Shrivastava
  - Dhaval Patel
  - et al.
- 2019
- Big Data 2019
Spatio-temporal Event Detection using Poisson Model and Quad-tree on Geotagged Social Media
- - Yasmeen George
  - Shanika Karunasekera
  - et al.
- 2019
- Big Data 2019
Diagnosis of Neural Network via Backward Deduction
- - Peifeng Yin
  - Lei Huang
  - et al.
- 2019
- Big Data 2019
Kafka: The Database Inverted, but Not Garbled or Compromised
- - Sean Rooney
  - Peter Urbanetz
  - et al.
- 2019
- Big Data 2019
Learning and Recognizing Archeological Features from LiDAR Data
- - Conrad Albrecht
  - Chris Fisher
  - et al.
- 2019
- Big Data 2019
Fast Record Linkage for Company Entities
- - Thomas Gschwind
  - Christoph Miksovic
  - et al.
- 2019
- Big Data 2019
Seq2graph: Discovering Dynamic Non-linear Dependencies from Multivariate Time Series
- - Xuan-Hong Dang
  - Syed Yousaf Shah
  - et al.
- 2019
- Big Data 2019
Counting Devices: Revisiting Existing Approaches in Today's Settings
- - Franck Le
  - Enriquillo Valdez
  - et al.
- 2019
- Big Data 2019
The Link Regression Problem in Graph Streams
- - Bowen Dong
  - Charu Aggarwal
  - et al.
- 2019
- Big Data 2019
Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster
- - Yuqi Fu
  - Shaolun Zhang
  - et al.
- 2019
- Big Data 2019