David Chek Ling Ngo
Artificial Intelligence · with Aghabozorgi · 2014–2015
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it; #19,326 of 35,345 by trust here, #17,776 by citations
- Finance — 25 citations into it
- Management Science and Operations Research — 21 citations into it; #5,840 of 11,946 by trust here, #3,977 by citations
- Economics and Econometrics — 18 citations into it; #20,345 of 23,481 by trust here, #20,008 by citations
- Information Systems — 14 citations into it
- Natural Language Processing — 7 citations into it
- Accounting — 6 citations into it
- Time-Series & Forecasting — 6 citations into it; #248 of 381 by trust here, #147 by citations
Whom David Chek Ling Ngo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims
- Robert P. Schumaker
- Marc-André Mittermayer
- George A. Miller
- Feng Li
- Mohamed M. Mostafa
- C. Burges
- Chih-Jen Lin
- Sanjiv Ranjan Das
Who trusts David Chek Ling Ngo overall
- Vadlamani Ravi
- Stefan Feuerriegel
- B. Shravan Kumar
- Laith Mohammad Abualigah
- Ahamad Tajudin Abdul Khader
- Ralph Fehrer
Papers from David Chek Ling Ngo's perspective
Ordered by how strongly the researchers David Chek Ling Ngo trusts endorse each paper. Same corpus, a different order for every researcher.
- Text Categorization with Support Vector Machines: Learning with Many Relevant Features
- Fast Training of Support Vector Machines using Sequential Minimal Optimization
- LIBSVM: A library for support vector machines
- Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web
- WordNet: A Lexical Database for English
- Data Mining Practical Machine Learning Tools and Techniques
- Convolution Kernels for Natural Language (Neural Information Processing Systems)
- Forecasting Intraday stock price trends with text mining techniques (37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the)
- Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
- A Tutorial on Support Vector Machines for Pattern Recognition
Their papers
- Text mining for market prediction: A systematic review (2014) — 621 citations
- Text mining of news-headlines for FOREX market prediction: A Multi-layer Dimension Reduction Algorithm with semantics and sentiment (2015) — 277 citations