NDLI: Jointly Modeling Label and Feature Heterogeneity in Medical Informatics

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ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 11

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 10

Issue 4(Special Issue on SIGKDD 2014, Special Issue on BIGCHAT and Regular Papers), July 2016

Introduction to the Special Issue of Best Papers in ACM SIGKDD 2014

Product Selection Problem: Improve Market Share by Learning Consumer Behavior

Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach

Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-Modal Similarity Search

Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue

Kernelized Information-Theoretic Metric Learning for Cancer Diagnosis Using High-Dimensional Molecular Profiling Data

Jointly Modeling Label and Feature Heterogeneity in Medical Informatics

Mining Dual Networks: Models, Algorithms, and Applications

Biomedical Ontology Quality Assurance Using a Big Data Approach

Less is More: Building Selective Anomaly Ensembles

Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing

Inferring Dynamic Diffusion Networks in Online Media

Unsupervised Rare Pattern Mining: A Survey

CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering

Spatial-Proximity Optimization for Rapid Task Group Deployment

Featuring, Detecting, and Visualizing Human Sentiment in Chinese Micro-Blog

Eigen-Optimization on Large Graphs by Edge Manipulation

Issue 3, February 2016

Issue 2, October 2015

Issue 1, July 2015

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 9

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 8

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 7

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 6

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 5

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 4

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 3

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 2

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 1

Jointly Modeling Label and Feature Heterogeneity in Medical Informatics

Content Provider	ACM Digital Library
Author	He, Jingrui Fu, Haoda Yang, Pei Ye, Jieping Yang, Hongxia Zhou, Dawei Lappas, Theodoros
Copyright Year	2016
Abstract	Multiple types of heterogeneity including label heterogeneity and feature heterogeneity often co-exist in many real-world data mining applications, such as diabetes treatment classification, gene functionality prediction, and brain image analysis. To effectively leverage such heterogeneity, in this article, we propose a novel graph-based model for Learning with both Label and Feature heterogeneity, namely $L^{2}F.$ It models the label correlation by requiring that any two label-specific classifiers behave similarly on the same views if the associated labels are similar, and imposes the view consistency by requiring that view-based classifiers generate similar predictions on the same examples. The objective function for $L^{2}F$ is jointly convex. To solve the optimization problem, we propose an iterative algorithm, which is guaranteed to converge to the global optimum. One appealing feature of $L^{2}F$ is that it is capable of handling data with missing views and labels. Furthermore, we analyze its generalization performance based on Rademacher complexity, which sheds light on the benefits of jointly modeling the label and feature heterogeneity. Experimental results on various biomedical datasets show the effectiveness of the proposed approach.
Starting Page	1
Ending Page	25
Page Count	25
File Format	PDF
ISSN	15564681
e-ISSN	1556472X
DOI	10.1145/2768831
Volume Number	10
Issue Number	4
Journal	ACM Transactions on Knowledge Discovery from Data (TKDD)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-05-11
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Heterogeneous learning Medical informatics Multi-label learning Multi-view learning
Content Type	Text
Resource Type	Article
Subject	Computer Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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