In this paper, we propose lazy bagging (LB), which builds bootstrap replicate bags based on the characteristics of test instances. Upon receiving a test instance xk, LB trims bootstrap bags by taking...
Conceptual Equivalence for Contrast Mining in Classification Learning (2009)
Ying Yang, Xindong Wu, Xingquan Zhu
Learning often occurs through comparing. In classification learning, in order to compare data groups, most existing methods compare either raw instances or learned classification rules against each...
Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets (2009)
Xingquan Zhu, Xindong Wu, Ying Yang
Given a noisy dataset, how to locate erroneous instances and attributes and rank suspicious instances based on their impacts on the system performance is an interesting and important research issue....
Using WordNet to Disambiguate Word Senses for Text Classification (2008)
Ying Liu, Peter Scheuermann, Xingsen Li, Xingquan Zhu
Abstract. In this paper, we propose an automatic text classification method based on word sense disambiguation. We use “hood ” algorithm to remove the word ambiguity so that each word is replaced...
Active Learning from Data Streams * (2008)
Xingquan Zhu, Peng Zhang, Xiaodong Lin, Yong Shi
In this paper, we address a new research problem on active learning from data streams where data volumes grow continuously and labeling all data is considered expensive and impractical. The objective...
Mining Video Associations for Efficient Database Management (2008)
To support more efficient video database management, this paper explores the concept of video association mining, with which the association patterns are characterized by sequentially associated...
DOI 10.1007/s10115-006-0016-8 REGULAR PAPER (2008)
Gong Chen, Xindong Wu, Xingquan Zhu
Efficient string matching with wildcards and length constraints
Guojun Mao, Xindong Wu, Xingquan Zhu, Gong Chen, Chunnian Liu
frequent itemsets
Xingquan Zhu, Ruoming Jin, Gagan Agrawal
Copyright © 2007 by the Association for Computing Machinery, Inc (ACM). Permission to make digital or hard copies of portions of this work for personal or classroom use is granted without fee...
Walid Aref, Ann Christine Catlin, Ahmed Elmagarmid, Jianping Fan, Moustafa Hammad, Ihab Ilyas, ...
Abstract. Real-world video-based applications require database technology that is capable of storing digital video in the form of video databases and providing content-based video search and...
Multimedia Systems VDBMS: A Testbed Facility for Research in Video Database Benchmarking (2008)
Walid G. Aref, Ann C. Catlin, Ahmed K. Elmagarmid, Jianping Fan, Moustafa A. Hammad, F. Ilyas, ...
Abstract Real world video-based applications require database technology that is capable of storing digital video in the form of video databases and providing content-based video search and...
Pushing Frequency Constraint to Utility Mining Model (2008)
Jing Wang, Ying Liu, Lin Zhou, Yong Shi, Xingquan Zhu
Abstract. Traditional association rules mining (ARM) only concerns the frequency of itemsets, which may not bring large amount of profit. Utility mining only focuses on itemsets with high utilities,...
Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams ⋆ (2008)
Ying Yang, Xindong Wu, Xingquan Zhu
Abstract. Prediction in streaming data is an important activity in the modern society. Two major challenges posed by data streams are (1) the data may grow without limit so that it is difficult to...
Xingquan Zhu, Xindong Wu, Ying Yang
Abstract. Recently, mining from data streams has become an important and challenging task for many real-world applications such as credit card fraud protection and sensor networking. One popular...
Guojun Mao, Xindong Wu, Xingquan Zhu, Gong Chen, Chunnian Liu, Guojun Mao, ...
Mining maximal frequent itemsets from data streams
An Empirical Study of the Noise Impact on Cost-Sensitive Learning (2008)
Xingquan Zhu, Xindong Wu, Taghi M. Khoshgoftaar, Yong Shi
In this paper, we perform an empirical study of the impact of noise on cost-sensitive (CS) learning, through observations on how a CS learner reacts to the mislabeled training examples in terms of...
Model-Based Video Classification toward Hierarchical Representation, Indexing and Access ∗ (2007)
Jianping Fan, Xingquan Zhu, Ahmed K. Elmagarmid
Abstract. In this paper, we develop a content-based video classification approach to support semantic categorization, high-dimensional indexing and multi-level access. Our contributions are in four...
PROOF COPY 002104JEI PROOF (2007)
Xingquan Zhu, Hongjiang Zhang, Wenyin Liu, Chun-hui Hu, Lide Wu
New query refinement and semantics integrated image retrieval system with semiautomatic annotation scheme
Xingquan Zhu, Ahmed K. Elmagarmid, Xiangyang Xue, Lide Wu, Ann Christine Catlin
Hierarchical video browsing and feature-based video retrieval are two standard methods for accessing video content. Very little research, however, has addressed the benefits of integrating these two...
DigitalObjea IdealS9 (DOI) 10.1007/s00530-003-0076-5 Multime/s System (2003) (2007)
Multimesn System Springe, Xingquan Zhu, Jianping Fan, Ahmed K. Elmagarmid, Xindong Wu
Vide isincrexSTWWk the mere ofchoice for a varieP of communicationchanneca renneca primarily from incre8kw le vex ofneh orke multimeST systeme One way to keW ourheSw above the vide se is to provide...
Mining sequential patterns across data streams (2005)
Gong Chen, Xindong Wu, Xingquan Zhu
Abstract. There are extensive endeavors toward mining frequent items or itemsets in a single data stream, but rare efforts have been made to explore sequential patterns among literals in different...
Sequential pattern mining in multiple streams (2005)
Gong Chen, Xindong Wu, Xingquan Zhu
In this paper, we deal with mining sequential patterns in multiple data streams. Building on a state-of-the-art sequential pattern mining algorithm PrefixSpan for mining transaction databases, we...
Xingquan Zhu, Xindong Wu, Jianping Fan, Ahmed K. Elmagarmid, Walid G. Aref
Abstract. In this paper, we propose a hierarchical video summarization strategy that explores video content structure to provide the users with a scalable, multilevel video summary. First,...
Dynamic Classifier Selection for Effective Mining from Noisy Data Streams (2004)
Xingquan Zhu, Xindong Wu, Ying Yang
Recently, mining from data streams has become an important and challenging task for many real-world applications such as credit card fraud protection and sensor networking. One popular solution is to...
ClassView: Hierarchical Video Shot Classification, Indexing, and Accessing (2004)
Jianping Fan, Ahmed K. Elmagarmid, Senior Member, Xingquan Zhu, Walid G. Aref, Lide Wu
Recent advances in digital video compression and networks have made video more accessible than ever. However, the existing content-based video retrieval systems still suffer from the following...
VDBMS: A testbed facility for research in video database benchmarking (2004)
Walid G. Aref, Ann Christine Catlin, Ahmed Elmagarmid, Jianping Fan, Moustafa Hammad, Ihab Ilyas, ...
Real-world video-based applications require database technology that is capable of storing digital video in the form of video databases and providing content-based video search and retrieval. Methods...
Vdbms: A testbed facility for research in video database benchmarking (2004)
Walid Aref, Ann Catlin, Ahmed Elmagarmid, Jianping Fan, Moustafa Hammad, Ihab Ilyas, ...
VDBMS research 1 is motivated by the requirements of video-based applications to search by content, and by the need for testbed facilities for research in video database management. Our fundamental...
Dealing with predictive-but-unpredictable attributes in noisy data sources (2004)
Ying Yang, Xindong Wu, Xingquan Zhu
Abstract. Attribute noise can affect classification learning. Previous work in handling attribute noise has focused on those predictable attributes that can be predicted by the class and other...
Cost-guided Class Noise Handling for Effective Cost-sensitive Learning (2004)
Recent research in machine learning, data mining and related areas has produced a wide variety of algorithms for costsensitive (CS) classification, where instead of maximizing the classification...
Elucidation of bucephalid parasite life-cycles using mutation scanning analysis (2004)
Hutson, Kate, Styan, Craig, Beveridge, Ian, Keough, Michael, Zhu, Xingquan, ...
Nucleotide variation in a portion of the mitochondrial cytochrome c oxidase subunit1 (cox1) gene from asexual stages of bucephalids of southern Australian scallops (Chlamys asperrima, Chlamys bifrons...
Eliminating class noise in large datasets (2003)
Xingquan Zhu, Xindong Wu, Qijun Chen
This paper presents a new approach for identifying and eliminating mislabeled instances in large or distributed datasets. We first partition a dataset into subsets, each of which is small enough to...
Eliminating class noise in large datasets (2003)
Xingquan Zhu, Xindong Wu, Qijun Chen
This paper presents a new approach for identifying and eliminating mislabeled instances in large or distributed datasets. We first partition a dataset into subsets, each of which is small enough to...
An access control model for video database systems (2002)
Elisa Bertino, Jianping Fan, Elena Ferrari, Ahmed K. Elmagarmid, Hewlett Packard, Xingquan Zhu
Content-based video database access control is becoming very important, but it depends on the progresses of the following related research issues: (a) efficient video analysis for supporting semantic...
ClassMiner: Mining medical video for scalable (2002)
Skimming And Summarization, Xingquan Zhu, Jianping Fan, Said Hacid, Ahmed K. Elmagarmid
this paper, we define the "Clinical Operation" as a group of shots without speaker change, where at east one shot in the scene contains blood-red or a close-up of a skin region (skin region...
A Video Database Management System for Advancing Video Database Research (2002)
Walid G. Aref, Ann C. Catlin, Jianping Fan, Ahmed K. Elmagarmid, Moustafa A. Hammad, Ihab F. Ilyas, ...
The most useful environments for advancing research and development in video databases are those that provide complete video database management, including (1) video preprocessing for content...
Ye Lu, Chunhui Hu, Xingquan Zhu, Hongjiang Zhang, Qiang Yang
The relevance feedback approach to image retrieval is a powerful technique and has been an active research direction for the past few years. Various ad hoe parameter estimation techniques have been...
Ye Lu, Chunhui Hu, Xingquan Zhu, Hongjiang Zhang, Qiang Yang
The relevance feedback approach to image retrieval is a powerful technique and has been an active research direction for the past few years. Various ad hoc parameter estimation techniques have been...
Ye Lu, Chunhui Hu, Xingquan Zhu, Hongjiang Zhang, Qiang Yang
The relevance feedback approach to image retrieval is a powerful technique and has been an active research direction for the past few years. Various ad hoc parameter estimation techniques have been...