NDLI: Resume Mining of Communities in Social Network

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2015 IEEE International Conference on Data Mining Workshop (ICDMW)

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Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007)

Seventh IEEE International Conference on Data Mining Workshops - Title

Seventh IEEE International Conference on Data Mining Workshops - Copyright

Workshops and Organizations

Ask the Crowd to Find out What's Important

Aspect Summarization from Blogsphere for Social Study

FiVaTech: Page-Level Web Data Extraction from Template Pages

SOPS: Stock Prediction Using Web Sentiment

HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks

Extracting Author Meta-Data from Web Using Visual Features

Automatic Generation of Traditional Style Painting by Using Density-Based Color Clustering

Semi-Automatic Semantic Annotation of Images

Bit Sequences and Biclustering of Text Documents

Tensor Space Learning for Analyzing Activity Patterns from Video Sequences

Adapting SVM Classifiers to Data with Shifted Distributions

A Comparative Study of Methods for Transductive Transfer Learning

Assessing Reliability of Protein-Protein Interactions by Semantic Data Integration

Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site Prediction

Statistical Approaches to Identifying Androgen Response Elements

Mapping Gene/Protein Names in Free Text to Biomedical Databases

A Content Based Pattern Analysis System for a Biological Specimen Collection

Discovering Gene Expression Data from the Tables of Full Text Publications

Modeling and Management of Signal Transduction Pathways with Live Sequence Charts

Developing an Integrated Time-Series Data Mining Environment for Medical Data Mining

Time-Annotated Sequences for Medical Data Mining

Automatically Finding Images for Clinical Decision Support

Identifying Exacerbating Cases in Chronic Diseases Based on the Cluster Analysis of Trajectory Data on Laboratory Examinations

Predictive Data Mining for Lung Nodule Interpretation

Predictive Data Mining to Learn Health Vitals of a Resident in a Smart Home

Utilization of Data-Mining Techniques for Evaluation of Patterns of Asthma Drugs Use by Ambulatory Patients in a Large Health Maintenance Organization

Analysis of Relationship between Blood Stream Infection and Clinical Background in Patients' Lactobacillus Therapy by Data Mining

Data Modeling for Content-Based Support Environment (C-BASE): Application on Epilepsy Data Mining

Data Clustering with a Relational Push-Pull Model

Learning What Makes a Society Tick

Distance Metric Learning through Optimization of Ranking

Using Data Mining to Estimate Missing Sensor Data

Cluster Analysis and Optimization in Color-Based Clustering for Image Abstract

Predicting and Optimizing Classifier Utility with the Power Law

Mining Distance-Based Outliers from Categorical Data

Feature Selection for Nonlinear Kernel Support Vector Machines

Physical Analysis of Precipitation Factors Based on SVM Method

An Efficient Fitness Assignment Based on Dominating Tree

A Regularized Multiple Criteria Linear Program for Classification

Dual Fuzzy-Possibilistic Co-clustering for Document Categorization

Generalized Additive Models from a Neural Network Perspective

A Novel Rule Weighting Approach in Classification Association Rule Mining

Semi-supervised Kernel Logistic Regression and Its Extension to Active Learning Based on A-Optimality

Classification with Choquet Integral with Respect to Signed Non-additive Measure

Multiple-Criteria Linear Programming for VIP E-Mail Behavior Analysis

A Novel Parallel Boolean Approach for Discovering Frequent Itemsets

Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization

Extracting Knowledge to Predict TSP Asymptotic Time Complexity

Twin Kernel Embedding with Back Constraints

An Efficient Technique for Mining Approximately Frequent Substring Patterns

Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines

Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models

Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability

WC-Clustering: Hierarchical Clustering Using the Weighted Confidence Affinity Measure

Semi-supervised Clustering Using Bayesian Regularization

Experimental Comparison of Feature Subset Selection Methods

Utility-Based Web Path Traversal Pattern Mining

Combining Collective Classification and Link Prediction

Simultaneous Heterogeneous Data Clustering Based on Higher Order Relationships

Discovering Structural Anomalies in Graph-Based Data

Subgraph Support in a Single Large Graph

Tree Planar Languages

An Examination of Experimental Methodology for Classifiers of Relational Data

GDClust: A Graph-Based Document Clustering Technique

Learning Term Dependency Links Using Information Theoretic Inclusion Measure

Exploiting Network Structure for Active Inference in Collective Classification

Resume Mining of Communities in Social Network

A Divisive Hierarchical Structural Clustering Algorithm for Networks

Counterpropagation Neural Network for Stochastic Conditional Simulation: An Application with Berea Sandstone

Genre Categorization of Web Pages

Segmenting Multi-attribute Sequences Using Dynamic Bayesian Networks

Error-Aware Density-Based Clustering of Imprecise Measurement Values

Skewed Class Distributions and Mislabeled Examples

Reducing UK-Means to K-Means

Efficient Mining of Frequent Patterns from Uncertain Data

A Novel Ordering-Based Greedy Bayesian Network Learning Algorithm on Limited Data

Granularity Conscious Modeling for Probabilistic Databases

Representing Tuple and Attribute Uncertainty in Probabilistic Databases

Targeting Input Data for Acoustic Bird Species Recognition Using Data Mining and HMMs

Incremental Integration of Probabilistic Models Learned from Data

Incremental Quantization for Aging Data Streams

Hierarchical Classifier Combination and Its Application in Networks Intrusion Detection

An Approach for Incremental Semi-supervised SVM

Sequential Change Detection on Data Streams

Optimal Window Change Detection

High-Speed Identification of Language and Script

Infrequent Item Mining in Multiple Data Streams

Stream Event Detection: A Unified Framework for Mining Outlier, Change and Burst Simultaneously over Data Stream

Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping Files

Space-Time Interpolation and Uncertainty Assessment of an Extreme Precipitation Index Using Geostatistical Cosimulation

On Regional Association Rule Scoping

A Compact Representation of Spatio-Temporal Data

Modeling Fundamental Geo-Raster Operations with Array Algebra

Pattern Mining as Abduction: From Snapshots to Spatio-Temporal Sequential Patterns

Query Expansion Using Topic and Location

Knowledge Discovery in Entity Based Smart Environment Resident Data Using Temporal Relation Based Data Mining

Space-Time Summarization of Multisensor Time Series. Case of Missing Data

Spatial Clustering Using the Likelihood Function

Diagnosing Similarity of Oscillation Trends in Time Series

Formulating, Identifying and Analyzing Individual Spatial Knowledge

Using Statistics and Spatial Data Mining to Study Land Cover in Wyoming :Can We Predict Vegetation Types from Environmental Variables?

The Vegetation Outlook (VegOut): A New Tool for Providing Outlooks of General Vegetation Conditions Using Data Mining Techniques

A Hybrid Classification Scheme for Mining Multisource Geospatial Data

Fast Mining of Complex Spatial Co-location Patterns Using GLIMIT

Spatio-Temporal Analysis of the Relationship between South American Precipitation Extremes and the El Niño Southern Oscillation

Hiding Sensitive Trajectory Patterns

Privacy-Preserving k-NN for Small and Large Data Sets

A Secure Clustering Algorithm for Distributed Data Streams

Private Inference Control for Aggregate Database Queries

Privacy-Preserving Data Mining Applications in the Malicious Model

"Secure" Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases

Simultaneous Pattern and Data Hiding in Unsupervised Learning

Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)

Resume Mining of Communities in Social Network

Content Provider	IEEE Xplore Digital Library
Author	Bin Wu Xin Pei JianBin Tan Yi Wang
Copyright Year	2007
Description	Author affiliation: Beijing Univ. of Posts & Telecommun., Beijing (Bin Wu; Xin Pei; JianBin Tan; Yi Wang)
Abstract	Recently there has been considerable interest in the study of community detection in social network. However, to get more detailed knowledge about the global organization of the whole network and the discovered communities, how to explain and utilize these communities will be far more significant in many practical scenarios. Thus, we propose the problem of resume mining of social network communities. We also study three important aspects of resume mining: the characterization of community , the discrimination among communities and the community evolution mining. Unlike other similar algorithms, our solutions fully consider the inner topology of a community together with the attributes of nodes. Then we also study two cases: the first is about mobile call graphs and the second is about co-authorship networks. The result shows that the community resume found by our methods represents state and history of a community clearly.
Starting Page	435
Ending Page	440
File Size	448969
Page Count	6
File Format	PDF
ISBN	9780769530192
DOI	10.1109/ICDMW.2007.130
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article

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