NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
Selectivity estimation for range predicates using lightweight models
Empirical Entropy Approximation via Subsampling: Theory and Application
ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data.
Automatic Entity Recognition and Typing in Massive Text Corpora.
Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee.
A privacy mechanism for mobile-based urban traffic monitoring
ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering
Towards Interactive Construction of Topical Hierarchy: A Recursive Tensor Decomposition Approach
GIN: A Clustering Model for Capturing Dual Heterogeneity in Networked Data.
Bringing structure to text: mining phrases, entities, topics, and hierarchies
Automatic Construction and Ranking of Topical Keyphrases on Collections of Short Documents.
Scalable Moment-Based Inference for Latent Dirichlet Allocation.
NewsNetExplorer: automatic construction and exploration of news information networks
Mining latent entity structures from massive unstructured and interconnected data
Constructing Topical Hierarchies in Heterogeneous Networks
Constructing Topical Hierarchies in Heterogeneous Information Networks
Research-insight: providing insight on research by publication network analysis
Semantic Frame-Based Document Representation for Comparable Corpora.
Multi-View Clustering via Joint Nonnegative Matrix Factorization.
Social patterns: Community detection using behavior-generated network datasets.
AMETHYST: a system for mining and exploring topical hierarchies of heterogeneous data
EventCube: multi-dimensional search and mining of structured and text data
Content coverage maximization on word networks for hierarchical topic summarization
Ranking-based name matching for author disambiguation in bibliographic data
Targeted disambiguation of ad-hoc, homogeneous sets of named entities
Scalable influence maximization for independent cascade model in large-scale social networks.
Learning online discussion structures by conditional random fields
Learning relevance from heterogeneous social network and its application in online targeting
LikeMiner: a system for mining the power of 'like' in social media networks
Dynamic Social Influence Analysis through Time-Dependent Factor Graphs
WINACS: construction and analysis of web-based computer science information networks
Mining advisor-advisee relationships from research publication networks
On community outliers and their efficient detection in information networks
Scalable influence maximization for prevalent viral marketing in large-scale social networks
Decomposition: Privacy Preservation for Multiple Sensitive Attributes
BSGI: An Effective Algorithm towards Stronger l-Diversity