2020
Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation
, arXiv:2003:04315, 2020.
2019
The Challenge of Crafting Intelligible Intelligence
, CACM, 2019.
2018
Active Learning with Unbalanced Classes & Example-Generation Queries
, AAAI Conference on Human Computation, 2018.
Semi-Supervised Event Extraction with Paraphrase Clusters
, NAACL-HLT, 2018.
2017
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
, Conference of the Association for Computational Linguistics (ACL), 2017.
Downloads: http://nlp.cs.washington.edu/triviaqa/ DATA
https://github.com/mandarjoshi90/triviaqa CODE
Zero-Shot Relation Extraction via Reading Comprehension
, Conference on Natural Language Learning (CoNLL), 2017.
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
, Conference of the Association for Computational Linguistics (ACL), 2017.
Downloads: http://www.ikonstas.net/index.php?page=demos# DEMO
https://github.com/sinantie/NeuralAmr CODE
End-to-end Neural Coreference Resolution
, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017.
Downloads: https://github.com/kentonl/e2e-coref CODE
https://kentonl.github.io/e2e-coref DEMO
Learning a Neural Semantic Parser from User Feedback
, Conference of the Association of Computational Linguistics (ACL), 2017.
Downloads: https://github.com/sriniiyer/nl2sql CODE
Deep Semantic Role Labeling: What Works and What's Next
, Conference of the Association for Computational Linguistics (ACL), 2017.
Downloads: https://github.com/luheng/deep_srl CODE
2016
Re-active Learning: Active Learning with Relabeling
, AAAI Conference on Artificial Intelligence, 2016.
Learning Prototypical Event Structure from Photo Albums
, Conference of the Association for Computational Linguistics (ACL), 2016.
Downloads: https://www.cs.washington.edu/projects/nlp/protoevents WEB
https://homes.cs.washington.edu/~antoineb/datasets/public.zip DATA
LSTM CCG Parsing
, Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016.
Summarizing Source Code using a Neural Attention Model
, Annual Meeting of the Association for Computational Linguistics (ACL), 2016.
Downloads: https://github.com/sriniiyer/codenn CODE
Human-in-the-Loop Parsing
, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016.
Situation Recognition: Visual Semantic Role Labeling for Image Understanding
, Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2016.
Downloads: http://imsitu.org/ WEB
http://imsitu.org/browse/ DATA
http://imsitu.org/demo DEMO
Globally Coherent Text Generation with Neural Checklist Models
, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016.
Global Neural CCG Parsing with Optimality Guarantees
, Conference on Empirical Methods in Natural Language Process (EMNLP), 2016.
*Best Paper Award*
A Theme-Rewriting Approach for Generating Algebra Word Problems
, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016.
Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects
, Association for the Advancement of Artificial Intelligence (AAAI), 2016.
Document-level Sentiment Inference with Social, Faction, and Discourse Context
, Conference of the Association for Computational Linguistics (ACL), 2016.
2015
Learning on the Job: Optimal Instruction for Crowdsourcing
, ICML ’15 Workshop on Crowdsourcing and Machine Learning, 2015.
Recursive Decomposition for Nonconvex Optimization
, International Joint Conference on Artificial Intelligence, 2015.
Downloads: http://homes.cs.washington.edu/~afriesen/papers/ijcai2015.pdf PDF
http://homes.cs.washington.edu/~afriesen/papers/ijcai2015sp.pdf Supplementary Material
Reactive Learning: Actively Trading Off Larger Noisier Training Sets Against Smaller Cleaner Ones
, ICML Workshop on Crowdsourcing and Machine Learning and ICML Active Learning Workshop, 2015.
Design Challenges for Entity Linking
, Transactions of the Association for Computational Linguistics 3, 2015.
Exploiting Parallel News Streams for Unsupervised Event Extraction
, Transactions of the Association for Computational Linguistics (TACL) 3, 2015.
Crawled parallel news streams are available at
http://www.cs.washington.edu/ai/clzhang/sentences.tokens.gz http://www.cs.washington.edu/ai/clzhang/sentences.articleIDs.gz
The github url of this project: https://github.com/zhangcongle/NewsSpikeRe
Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing
, International Conference on Computer Vision (ICCV), 2015.
(oral)
Learning to Name Objects
, Communications of the ACM (CACM), 2015.
(invited article)
Déjà Image-Captions: A Corpus of Expressive Image Descriptions in Repetition
, North American Chapter of the Association for Computational Linguistics (NAACL), 2015.
Gaussian Processes for Data-Efficient Learning in Robotics and Control
, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 37:2, 2015.
Learning Relational Sum-Product Networks
, AAAI Conference on Artificial Intelligence, 2015.
2014
Parallel Task Routing for Crowdsourcing
, AAAI Conference on Human Computation and Crowdsourcing, 2014.
Tractable Probabilistic Knowledge Bases: Wikipedia and Beyond
, Workshop on Statistical Relational AI, 2014.
Tractability through Exchangeability: A New Perspective on Efficient Lifted Inference
, Workshop on Statistical Relational AI, 2014.
Approximate Lifting Techniques for Belief Propagation
, AAAI Conference on Artificial Intelligence, 2014.
Automated Debugging with Tractable Probabilistic Programming
, Workshop on Statistical Relational AI, 2014.
2013
Crowdsourcing Multi-Label Classification for Taxonomy Creation
, Conference on Human Computation & Crowdsourcing (HCOMP), AAAI Press, 2013.
Awarded Best Paper
Awarded Best Paper Harvesting Parallel News Streams to Generate Paraphrases of Event Relations
, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2013.
Downloads: http://www.cs.washington.edu/ai/clzhang/release.tar.gz datasets
Joint Coreference Resolution and Named-Entity Linking with Multi-pass Sieves
, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2013.
Extracting Meronyms for a Biology Knowledge Base using Distant Supervision
, ACM Workshop on Automatic Knowledge-Base Construction, ACM, 2013.
POMDP-based control of workflows for crowdsourcing
, Artificial Intelligence 202, 2013.
Learning the Structure of Sum-Product Networks
, International Conference on Machine Learning, Omnipress, 2013.
Downloads:
Tractable Probabilistic Knowledge Bases with Existence Uncertainty
, Workshop on Statistical Relational AI, 2013.
Structured sparse learning of multiple Gaussian graphical model
, Advances in Neural Information Processing Systems (NIPS), 2013.
Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions
, Transactions of the Association for Computational Linguistics 1, 2013.
RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark
, Consumer Depth Cameras for Computer Vision: Research Topics and Applications, 2013.
Downloads:
http://www.springer.com/computer/image+processing/book/978-1-4471-4639-1 LINK
http://homes.cs.washington.edu/~kevinlai/publications/lai_rgbd13.bib bibtex
Multipath Sparse Coding Using Hierarchical Matching Pursuit
, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/multipath-sp... PDF
http://homes.cs.washington.edu/~lfb/paper/cvpr13.bib BIB
2012
Unsupervised Feature Learning for RGB-D Based Object Recognition
, ISER, 2012.
Downloads:
http://www.cs.washington.edu/homes/lfb/paper/iser12.pdf PDF
http://www.cs.washington.edu/homes/lfb/paper/iser12.bib bibtex
Unsupervised pattern discovery in human chromatin structure through genomic segmentation
, Nature Methods 9:5, 2012.
Downloads: http://www.nature.com/nmeth/journal/v9/n5/pdf/nmeth.1937.pdf PDF
http://www.nature.com/nmeth/journal/v9/n5/full/nmeth.1937.html HTML
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3340533/pdf/nihms360739.pdf Author Manuscript PDF
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3340533/ Author Manuscript HTML
http://www.ncbi.nlm.nih.gov/pubmed/22426492 PubMed
Direct maximization of protein identifications from tandem mass spectra.
, Molecular & cellular proteomics : MCP 11:2, 2012.
Faster Mass Spectrometry-based Protein Inference: Junction Trees are More Efficient than Sampling and Marginalization by Enumeration.
, IEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM, 2012.
Epigenetic priors for identifying active transcription factor binding sites.
, Bioinformatics (Oxford, England) 28:1, 2012.
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model
, Advances in Neural Information Processing Systems (NIPS), 2012.
Downloads:
http://books.nips.cc/papers/files/nips25/NIPS2012_0617.pdf PDF
http://homes.cs.washington.edu/~huangyp/nips12.bib bibtex
Integrative annotation of chromatin elements from ENCODE data
, Nucleic Acids Research In Press, 2012.
Learning Multiple Hierarchical Relational Clusterings
, ICML-12 Workshop on Statistical Relational Learning, 2012.
Learning STRIPS Operators from Noisy and Incomplete Observations
, Conference on Uncertainty in Artificial Intelligence (UAI) abs/1210.4889, 2012.
Discriminative Learning of Sum-Product Networks
, Neural Information Processing Systems, 2012.
Downloads:
http://homes.cs.washington.edu/~pedrod/papers/nips12.pdf PDF
ReGroup: Interactive Machine Learning for On-Demand Group Creation in Social Networks
, Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI-12), 2012.
Detection-based Object Labeling in 3D Scenes
, ICRA, 2012.
Downloads:
http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/3dobject-lab... PDF
http://www.cs.washington.edu/homes/kevinlai/publications/lai_icra12.bib bibtex
http://www.cs.washington.edu/ai/Mobile_Robotics/projects/3d-object-recog... video
http://www.cs.washington.edu/rgbd-dataset/dataset/rgbd-scene-labeling code
A Tractable First-Order Probabilistic Logic
, Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012.
A Few Useful Things to Know about Machine Learning
, Communications of the ACM 55:10, 2012.
Counting-MLNs: Learning Relational Structure for Decision Making
, AAAI Conference on Artificial Intelligence, 2012.
2011
Faster SEQUEST searching for peptide identification from tandem mass spectra.
, Journal of proteome research 10:9, 2011.
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
, AAAI Conference on Artificial Intelligence, 2011.
Open Information Extraction: the Second Generation
, International Joint Conference on Artificial Intelligence, 2011.
Identifying Relations for Open Information Extraction
, Conference on Empirical Methods in Natural Language Processing, 2011.
Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations
, Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2011.
Downloads: http://homes.cs.washington.edu/~raphaelh/mr/index.html Source Code
Inference Over the Web
, PHD Thesis, 2011.
Implementing Weighted Abduction in Markov Logic
, International Conference on Computational Semantics, 2011.
Sparse Distance Learning for Object Recognition Combining RGB and Depth Information
, ICRA, 2011.
Best Vision Paper Award
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/sparse-dista... PDF
http://www.cs.washington.edu/homes/kevinlai/publications/lai_icra11b.bib bibtex
http://www.cs.washington.edu/homes/kevinlai/publications/lai_icra11b.pptx slides
Object Recognition with Hierarchical Kernel Descriptors
, CVPR, 2011.
Downloads:
http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/hkdes-cvpr-1... PDF
http://www.cs.washington.edu/homes/kevinlai/publications/bo_cvpr11.bib bibtex
A Large-Scale Hierarchical Multi-View RGB-D Object Dataset
, ICRA, 2011.
Downloads:
http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/rgbd-dataset... PDF
http://www.cs.washington.edu/homes/kevinlai/publications/lai_icra11a.bib bibtex
http://www.cs.washington.edu/homes/kevinlai/publications/lai_icra11a.ppt poster
http://www.cs.washington.edu/rgbd-dataset dataset
Probabilistic Theorem Proving
, Uncertainty in Artificial Intelligence, 2011.
Approximation by Quantization
, Uncertainty in Artificial Intelligence, 2011.
Sum-Product Networks: A New Deep Architecture
, Uncertainty in Artificial Intelligence, 2011.
2010
Learning Efficient Markov Networks
, Annual Conference on Neural Information Processing Systems, 2010.
Approximate Inference by Compilation to Arithmetic Circuits
, Annual Conference on Neural Information Processing Systems, 2010.
Lifted Inference Seen from the Other Side: The Tractable Features
, Annual Conference on Neural Information Processing Systems, 2010.
Commonsense from the Web: Relation Properties
, AAAI Fall Symposium Series, 2010.
Identifying Functional Relations in Web Text
, Conference on Empirical Methods in Natural Language Processing, 2010.
Learning First-Order Horn Clauses from Web Text
, Conference on Empirical Methods in Natural Language Processing, 2010.
Machine Reading: A "Killer App" for Statistical Relational AI
, Workshop on Statistical Relational AI, 2010.
Open Information Extraction using Wikipedia
, Annual Meeting of the Association for Computational Linguistics, 2010.
Temporal Information Extraction
, AAAI Conference on Artificial Intelligence, 2010.
Downloads:
http://ai.cs.washington.edu/www/media/downloadable/media/tie_data.tar.gz Data Set
Panlingual Lexical Translation via Probabilistic Inference
, AAAI Conference on Artificial Intelligence, 2010.
Leveraging Ontologies for Lifted Probabilistic Inference and Learning
, Workshop on Statistical Relational AI, 2010.
Efficient Belief Propagation for Utility Maximization and Repeated Inference
, AAAI Conference on Artificial Intelligence, 2010.
Efficient Lifting for Online Probabilistic Inference
, AAAI Conference on Artificial Intelligence, 2010.
Downloads:
http://ml.cs.washington.edu/www/media/downloadable/media/dlnc-videos.tgz Dataset
Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models
, AAAI Conference on Artificial Intelligence, 2010.
Approximate Lifted Belief Propagation
, Workshop on Statistical Relational AI, 2010.
Learning 5000 Relational Extractors
, Annual Meeting of the Association for Computational Linguistics, 2010.
Exploiting Logical Structure in Lifted Probabilistic Inference
, Workshop on Statistical Relational AI, 2010.
A Latent Dirichlet Allocation method for Selectional Preferences
, Annual Meeting of the Association for Computational Linguistics, 2010.
Extracting Sequences from the Web
, Annual Meeting of the Association for Computational Linguistics, 2010.
Formula-Based Probabilistic Inference
, Uncertainty in Artificial Intelligence, 2010.
Semantic Role Labeling for Open Information Extraction
, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.
Bottom-Up Learning of Markov Network Structure
, International Conference on Machine Learning, 2010.
Machine Reading at the University of Washington
, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.
Learning Markov Logic Networks Using Structural Motifs
, International Conference on Machine Learning, 2010.
Analysis of a Probabilistic Model of Redundancy in Unsupervised Information Extraction
, Artificial Intelligence 174:11, 2010.
Twin Gaussian Processes for Structured Prediction
, International Journal of Computer Vision, 2010.
2009
Efficient Match Kernels between Sets of Features for Visual Recognition
, Annual Conference on Neural Information Processing Systems, 2009.
Dynamic Multi-Valued Network Models for Predicting Face-to-Face Conversations
, Annual Conference on Neural Information Processing Systems, 2009.
Conditional Neural Fields
, Annual Conference on Neural Information Processing Systems, 2009.
Identifying Interesting Assertions from the Web
, ACM Conference on Information and Knowledge Management, 2009.
A Rose is a Roos is a Ruusu: Querying Translations for Web Image Search
, Annual Meeting of the Association for Computational Linguistics, 2009.
Compiling a Massive, Multilingual Dictionary via Probabilistic Inference
, Annual Meeting of the Association for Computational Linguistics, 2009.
Lemmatic Machine Translation
, Machine Translation Summit, 2009.
Unsupervised Semantic Parsing
, Conference on Empirical Methods in Natural Language Processing, 2009.
A Language for Relational Decision Theory
, International Workshop on Statistical Relational Learning, 2009.
Deep Transfer via Second-Order Markov Logic
, International Conference on Machine Learning, 2009.
Amplifying Community Content Creation with Mixed Initiative Information Extraction
, Conference on Human Factors in Computing Systems, 2009.
Amplifying Community Content Creation with Mixed Initiative Information Extraction
, Conference on Human Factors in Computing Systems, 2009.
Collective Modeling of Human Social Behavior
, AAAI Spring Symposium Series, 2009.
What Is This, Anyway: Automatic Hypernym Discovery
, AAAI Spring Symposium Series, 2009.
Learning Markov Logic Network Structure via Hypergraph Lifting
, International Conference on Machine Learning, 2009.
Unsupervised Methods for Determining Object and Relation Synonyms on the Web
, Journal of Artificial Intelligence Research, 2009.
2008
Open Information Extraction from the Web
, Communications of the ACM, 2008.
It's a Contradiction -- No, It's Not: A Case Study using Functional Relations
, Conference on Empirical Methods in Natural Language Processing, 2008.
Scaling Textual Inference to the Web
, Conference on Empirical Methods in Natural Language Processing, 2008.
Towards the Automated Social Analysis of Situated Speech Data
, International Conference on Ubiquitous Computing, 2008.
Lifted First-Order Belief Propagation
, AAAI Conference on Artificial Intelligence, 2008.
Hybrid Markov Logic Networks
, AAAI Conference on Artificial Intelligence, 2008.
A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC
, AAAI Conference on Artificial Intelligence, 2008.
Information Extraction from Wikipedia: Moving Down the long Tail
, Knowledge Discovery and Data Mining, 2008.
Learning Hidden Curved Exponential Random Graph Models to Infer Face-to-Face Interaction Networks from Situated Speech Data
, AAAI Conference on Artificial Intelligence, 2008.
The Tradeoffs Between Open and Traditional Relation Extraction
, Annual Meeting of the Association for Computational Linguistics, 2008.
Automatically Refining the Wikipedia Infobox Ontology
, International World Wide Web Conference, 2008.
Extracting Semantic Networks from Text via Relational Clustering
, European Conference on Machine Learning, 2008.
Learning Arithmetic Circuits
, Uncertainty in Artificial Intelligence, 2008.
Discovery of Social Relationships in Consumer Photo Collections using Markov Logic
, International Workshop on Semantic Learning and Applications in Multimedia, 2008.
2007
Creating Social Network Models from Sensor Data
, Annual Conference on Neural Information Processing Systems, 2007.
Strategies for Lifelong Knowledge Extraction from the Web
, International Conference on Knowledge Capture, 2007.
Lexical Translation with Application to Image Search on the Web
, Machine Translation Summit, 2007.
Conversation Detection and Speaker Segmentation in Privacy-Sensitive Situated Speech Data
, Interspeech, 2007.
Autonomously Semantifying Wikipedia
, ACM Conference on Information and Knowledge Management, 2007.
Sparse Information Extraction: Unsupervised Language Models to the Rescue
, Annual Meeting of the Association for Computational Linguistics, 2007.
Capturing Spontaneous Conversation and Social Dynamics: A Privacy Sensitive Data Collection Effort
, International Conference on Acoustic and Speech Signal Processing, 2007.
Unsupervised Resolution of Objects and Relations on the Web
, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2007.
Joint Inference in Information Extraction
, AAAI Spring Symposium Series, 2007.
Machine Reading
, AAAI Spring Symposium Series, 2007.
Recursive Random Fields
, International Joint Conference on Artificial Intelligence, 2007.
A Privacy-Sensitive Approach to Modeling Multi-Person Conversations
, International Joint Conference on Artificial Intelligence, 2007.
Open Information Extraction from the Web
, International Joint Conference on Artificial Intelligence, 2007.
Structured Machine Learning: Ten Problems for the Next Ten Years
, International Conference on Inductive Logic Programming, 2007.
Statistical Predicate Invention
, International Conference on Machine Learning, 2007.
Efficient Weight Learning for Markov Logic Networks
, European Conference on Principles and Practice of Knowledge Discovery in Databases, 2007.
Markov Logic in Infinite Domains
, Uncertainty in Artificial Intelligence, 2007.
2006
Ambiguity Reduction for Machine Translation: Human-Computer Collaboration
, biennial conference of the Association for Machine Translation in the Americas, 2006.
Memory-Efficient Inference in Relational Domains
, AAAI Conference on Artificial Intelligence, 2006.
Unifying Logical and Statistical AI
, AAAI Conference on Artificial Intelligence, 2006.
Sound and Efficient Inference with Probabilistic and Deterministic Dependencies
, AAAI Conference on Artificial Intelligence, 2006.
Entity Resolution with Markov Logic
, IEEE International Conference on Data Mining, 2006.
Machine Reading
, AAAI Conference on Artificial Intelligence, 2006.
Markov Logic Networks
, Machine Learning Journal, 2006.
2005
A Probabilistic Model of Redundancy in Information Extraction
, International Joint Conference on Artificial Intelligence, 2005.
Discriminative Training of Markov Logic Networks
, AAAI Conference on Artificial Intelligence, 2005.
Naive Bayes Models for Probability Estimation
, International Conference on Machine Learning, 2005.
Object identification with attribute-mediated dependencies
, European Conference on Principles and Practice of Knowledge Discovery in Databases, 2005.
Mining social networks for viral marketing
, IEEE Intelligent Systems, 2005.
Learning the Structure of Markov Logic Networks
, International Conference on Machine Learning, 2005.
2004
iMAP: Discovering Complex Semantic Matches between Database Schemas
, ACM SIGMOD International Conference on Management of Data, 2004.
Multi-relational record linkage
, KDD Workshop on Multi-Relational Data Mining, 2004.
2003
Trust management for the Semantic Web
, International Semantic Web Conference, 2003.
Research on Statistical Relational Learning at the University of Washington
, Proc. of the IJCAI-2003 Workshop on Learning Statistical Models from Relational Data, 2003.
Mining massive relational databases
, International Workshop on Statistical Relational Learning, 2003.
Building large knowledge bases by mass collaboration
, International Conference on Knowledge Capture, 2003.
Learning with knowledge from multiple experts
, International Conference on Machine Learning, 2003.
2002
Learning from Infinite Data in Finite Time
, Annual Conference on Neural Information Processing Systems, 2002.
Relational Markov models and their application to adaptive Web navigation
, Knowledge Discovery and Data Mining, 2002.
Learning to Map between Ontologies on the Semantic Web
, International World Wide Web Conference, 2002.
Mining Complex Models from Arbitrarily Large Databases in Constant Time
, Knowledge Discovery and Data Mining, 2002.
2001
Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach
, ACM SIGMOD International Conference on Management of Data, 2001.
A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering
, International Conference on Machine Learning, 2001.
The intelligent surfer: Probabilistic combination of link and content information in PageRank
, Annual Conference on Neural Information Processing Systems, 2001.
Mining Time-Changing Data Streams
, Knowledge Discovery and Data Mining, 2001.
Mining the network value of customers
, Knowledge Discovery and Data Mining, 2001.
2000
Mining high-speed data streams
, Knowledge Discovery and Data Mining, 2000.