位置：成果数据库 > 会议 > 会议详情页
The Improved Non-negative Matrix Factorization Algorithm for Document Clustering
  • 所属机构名称：北京大学
  • 会议名称：2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2
  • 时间：2011.1.1
  • 成果类型：会议
  • 相关项目：WEB搜索与挖掘的新理论与方法
作者： Weizhong Zhao|Huifang Ma|Qing He|Zhongzhi Shi|
同会议论文项目
WEB搜索与挖掘的新理论与方法
期刊论文 74 会议论文 88 专利 1 著作 2
同项目会议论文
Orthogonal nonnegative matrix tri-factorization for semi-supervised document co-clustering
DH-TRIE frequent pattern mining on Hadoop using JPA
Provenance-based Indexing Support in Micro-blog Platforms
Improving transfer learning by introspective reasoner
Parallel Max-Min Ant System Using MapReduce
D-LDA: A topic modeling approach without constraint generation for semi-defined classification
Support vector machine with mixture of kernels for image classification
Similarity-based Bayesian learning from semi-structured log files for fault diagnosis of Web service
Tweet Recommendation with Graph Co-Ranking
Parallel decision tree with application to water quality data analysis
Parallel CLARANS Clustering Based on MapReduce
SSHLDA: A Semi-Supervised Hierarchical Topic Model
Temporal and social context based burst detection from folksonomies
Parallel outlier detection using KD-tree based on MapReduce
Quad-tuple PLSA: Incorporating entity and its rating in aspect identification
The improved non-negative matrix factorization algorithm for document clustering
Detecting bursty events in collaborative tagging systems
Content-enriched classifier for web video classification
Evolutionary Taxonomy Construction from Dynamic Tag Space
Challenging the Long Tail Recommendation
Multi-Task Semi-Supervised Semantic Feature Learning for Classification
Parallel implementation of classification algorithms based on mapreduce
A parallel hyper-surface classifier for high dimensional data
Nonparametric curve extraction based on ant colony system
TINAC: A Fast and Effective Web Video Topic Detection Framework
Collaborative dual-PLSA: Mining distinction and commonality across multiple domains for text classif
Efficient Collecting Relevence Information from Clickthroughs for Web Retrieval System Evaluation
A Unified Model for Stable and Temporal Topic Detection from Social Media Data
On the support of ad-hoc semantic web data sharing
A noise handling method for hyper surface classification
Frequent term based peer-to-peer text clustering
Local Bayesian based rejection method for HSC ensemble
Embedding with autoencoder regularization
Exploiting associations between word clusters and document classes for cross-domain text categorizat
Parallel Max-Min Ant System Using MapReduce
Visualizing Timelines: Evolutionary Summarization via Iterative Reinforcement between Text and Image
Identifying Event-related Bursts via Social Media Activities
To Better Stand on the Shoulder of Giants: Learning to Identify Potentially Influential Literature
Citation Count Prediction: Learning to Estimate Future Citations for Literature
Timeline Generation through Evolutionary Trans-Temporal Summarization
Evolutionary Timeline Summarization: a Balanced Optimization Framework via Iterative Substitution
Topical Keyphrase Extraction From Twitter,
Comparing Twitter and Traditional Media using Topic Models
Effective Time Ratio: A Measure for Web Search Engines with Snippets
On modeling MapReduce with granular computing
Back propagation approach for semi-supervised learning in granular computing
Automatic image annotation with continuous PLSA
Mining hot clusters of similar anomalies for system management
Voting conditional random fields for multi-label image classification
Collaboration in agent grid based on dynamic description logics
Improving Large Graph Processing on Partitioned Graphs in the Cloud
Triplex transfer learning: Exploiting both shared and distinct concepts for text classification
Concept Learning for Cross-domain Text Classification: a General Probabilistic Framework
Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding
Outlier Detection Based on Extreme Learning Machine
A Visual Cognitive Method Based on Hyper Surface for Data Understanding
PPLSA: Parallel probabilistic latent semantic analysis based on MapReduce
Parallel implementation of apriori algorithm based on MapReduce
Effectively constructing reliable data for cross-domain text classification
The high-activity parallel implementation of data preprocessing based on mapreduce
A HSC-based sample selection method for Support Vector Machine
Effectively leveraging entropy and relevance for summarization
Context Modeling for Ranking and Tagging Bursty Features in Text Streams
PPS Sampling of Web Graph Using Preferential Jumping Strategy
HisTrace: A System for Mining on News-Related Articles instead of Web Pages
Mechanism of concept learning in topologized knowledge granular space based on GrC
Event recognition from news webpages through latent ingredients extraction
Parallel K-Means Clustering Based on MapReduce
Mining frequent agent action patterns for effective multi-agent-based web service composition
Multi-label image annotation based on neighbor pair correlation chain
Dynamic Reasoning under Probabilistic Uncertainty in the Semantic Web
Combining the missing link: An incremental topic model of document content and hyperlink
An efficient data indexing approach on Hadoop using Java persistence API
A mind model for brain-like computer
PAGE: A Partition Aware Graph Computation Engine
Shared structure learning for multiple tasks with multiple views
Multiple feature fusion for social media applications
Fast Time Series Classification Based on Infrequent Shapelets
Modeling User Expertise in Folksonomies by Fusing Multi-type Features
Keyword Query Reformulation on Structured Data
Summarize what you are interested in: An optimization framework for Interactive Personalized Summari
Finding a Wise Group of Experts in Social Networks
Jointly modeling aspects and opinions with a MaxEnt-LDA hybrid
TeRec: A Temporal Recommender System Over Tweet Stream
LCARS: A Location-Content-Aware Recommender System
A new similarity measure based on preference sequences for collaborative filtering
Optimized Top-K Processing with Global Page Scores on Block-Max Indexes,