Dustin Lange

Computer Networks and Communications · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 15 citations into it

Whom Dustin Lange trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sanjay Krishnan
2. Rob J Hyndman
3. Matei A. Zaharia
4. M. Franklin
5. Ziawasch Abedjan
6. Stefan Heule
7. Ihab F. Ilyas

Papers from Dustin Lange's perspective

Ordered by how strongly the researchers Dustin Lange trusts endorse each paper. Same corpus, a different order for every researcher.

1. Et al
2. Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing
3. Discovering Denial Constraints
4. Quantitative Data Cleaning for Large Databases
5. MLlib: Machine Learning in Apache Spark
6. The Stratosphere platform for big data analytics (The VLDB journal)
7. Guided data repair
8. Scikit-learn: Machine Learning in Python
9. MLbase: A Distributed Machine-learning System
10. Materialization optimizations for feature selection workloads

Their papers

• Automating Large-Scale Data Quality Verification (2018) — 296 citations
• Data Is the New Oil (2018) — 110 citations
• Probabilistic Demand Forecasting at Scale (2017) — 158 citations