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Displaying 1-50 out of 108 total
A Dilemma in Assessing Stability of Feature Selection Algorithms
Found in: High Performance Computing and Communications, 10th IEEE International Conference on
By Salem Alelyani,Zheng Zhao,Huan Liu
Issue Date:September 2011
pp. 701-707
In realm, feature selection is an effective means for handling high-dimensional data that becomes increasingly abundant. The stability of a feature selection algorithm is becoming crucial for determining the fitness of the algorithm. Below, we review exist...
Routing Table Compaction in Ternary CAM
Found in: IEEE Micro
By Huan Liu
Issue Date:January 2002
pp. 58-64
<p>A network platform called the field-programmable port extender (FPX) streamlines and simplifies network transmission processing directly in hardware.</p>
Discovering Trust Networks for the Selection of Trustworthy Service Providers in Complex Contextual Social Networks
Found in: 2012 IEEE 19th International Conference on Web Services (ICWS)
By Guanfeng Liu,Yan Wang,Mehmet A. Orgun,Huan Liu
Issue Date:June 2012
pp. 384-391
Online Social Networks (OSNs) have provided an infrastructure for a number of emerging applications in recent years, e.g., for the recommendation of service providers, where trust is one of the most important factors for the decision-making of service cons...
Simulation of Blood Vessels for Surgery Simulators
Found in: Machine Vision and Human-machine Interface, International Conference on
By Xuemei Liu, Huan Liu, Aimin Hao, Qinping Zhao
Issue Date:April 2010
pp. 377-380
Laparoscopic virtual reality based surgery simulators are becoming a ubiquitous tool in resident training and assessment. Blood vessels on abdominal organ surface are major visual cue of laparoscopic imagery, so it makes sense to develop algorithms of gene...
An Unsupervised Feature Selection Framework for Social Media Data
Found in: IEEE Transactions on Knowledge and Data Engineering
By Jiliang Tang,Huan Liu
Issue Date:December 2014
pp. 1-1
The explosive usage of social media produces massive amount of unlabeled and high-dimensional data. Feature selection has been proven to be effective in dealing with high-dimensional data for efficient learning and data mining. Unsupervised feature selecti...
Behavior Informatics: A New Perspective
Found in: IEEE Intelligent Systems
By Longbing Cao,Thorsten Joachims,Can Wang,Eric Gaussier,Jinjiu Li,Yuming Ou,Dan Luo,Reza Zafarani,Huan Liu,Guandong Xu,Zhiang Wu,Gabriella Pasi,Ya Zhang,Xiaokang Yang,Hongyuan Zha,Edoardo Serra,V.S. Subrahmanian
Issue Date:July 2014
pp. 62-80
This installment of Trends &amp; Controversies provides an array of perspectives on the latest research in behavior informatics. Longbing Cao introduces the work in "Behavior Informatics: A New Perspective." Then, in "Behavior Computing,...
Big Data Drives Cloud Adoption in Enterprise
Found in: IEEE Internet Computing
By Huan Liu
Issue Date:July 2013
pp. 68-71
The need to store, process, and analyze large amounts of data is finally driving enterprise customers to adopt cloud computing at scale. Understanding the economic drivers behind enterprise customers is key to designing next-generation cloud services.
Mining Social Media: Challenges and Opportunities
Found in: 2013 International Conference on Social Intelligence and Technology (SOCIETY)
By Isaac Jones,Huan Liu
Issue Date:May 2013
pp. 90-99
The opportunities presented by social networking have led to millions of users flocking to sites like Facebook, Twitter, and Foursquare. Even sites like Amazon have added the ability for users to interact with one another, though it seems tangential to the...
On Similarity Preserving Feature Selection
Found in: IEEE Transactions on Knowledge and Data Engineering
By Zheng Zhao,Lei Wang,Huan Liu,Jieping Ye
Issue Date:March 2013
pp. 619-632
In the literature of feature selection, different criteria have been proposed to evaluate the goodness of features. In our investigation, we notice that a number of existing selection criteria implicitly select features that preserve sample similarity, and...
Effects of Different Culture Conditions to Middle-season Rice "Feng-liang-you-xiang -1"
Found in: 2013 Third International Conference on Intelligent System Design and Engineering Applications (ISDEA)
By Zhi-Hua Yuan,Yan-Xia Zhang,Peng-Fei Li,Wen-Jing He,Ming-Zhu Jin,Huan Liu,Bin Du,Wen-Jie Zhu
Issue Date:January 2013
pp. 662-665
To study the impact of different culture conditions to the growth and yield, an orthogonal experiment was conducted with four factors ¡X sowing date, basic seedling, nitrogen rate and water depth and three levels (L934)about Mid-season Hybrid Rice Feng-lia...
A QoS-aware Computation Model for Dynamic Web Service Selection
Found in: 2012 IEEE 12th International Conference on Computer and Information Technology (CIT)
By Jinfang Zhang,Farong Zhong,Zhenguo Yang,Huan Liu
Issue Date:October 2012
pp. 230-235
Dynamic services selection is an important and challenging work, especially, when a set of services have similar functionality and are available to the requesters' demands. Therefore, it is necessary to distinguish among these reliable services by computin...
Opening Doors to Sharing Social Media Data
Found in: IEEE Intelligent Systems
By Fred Morstatter,Huan Liu,Daniel Zeng
Issue Date:January 2012
pp. 47-51
Research data sharing becomes increasingly difficult in the context of social media. Increasing restrictions from social media sites are creating an environment where data cannot be freely shared and as a result scientific claims cannot be verified. In thi...
A Measurement Study of Server Utilization in Public Clouds
Found in: Dependable, Autonomic and Secure Computing, IEEE International Symposium on
By Huan Liu
Issue Date:December 2011
pp. 435-442
Due to a server's non-proportional energy consumption, it is highly desirable to increase server utilization in order to lower energy consumption and minimize environmental impact. To increase the utilization level, we must first understand the current uti...
Document Clustering via Matrix Representation
Found in: Data Mining, IEEE International Conference on
By Xufei Wang,Jiliang Tang,Huan Liu
Issue Date:December 2011
pp. 804-813
Vector Space Model (VSM) is widely used to represent documents and web pages. It is simple and easy to deal computationally, but it also oversimplifies a document into a vector, susceptible to noise, and cannot explicitly represent underlying topics of a d...
Quantifying Features Using False Nearest Neighbors: An Unsupervised Approach
Found in: Tools with Artificial Intelligence, IEEE International Conference on
By Jose Augusto Andrade Filho,Andre C. P. L. F. Carvalho,Rodrigo F. Mello,Salem Alelyani,Huan Liu
Issue Date:November 2011
pp. 994-997
Real-world datasets commonly present high dimensional data, which means an increased amount of information. However, this does not always imply an improvement in learning technique performance. Furthermore, some features may be correlated or add unexpected...
The Effect of the Characteristics of the Dataset on the Selection Stability
Found in: Tools with Artificial Intelligence, IEEE International Conference on
By Salem Alelyani,Huan Liu,Lei Wang
Issue Date:November 2011
pp. 970-977
Feature selection is an effective technique to reduce the dimensionality of a data set and to select relevant features for the domain problem. Recently, stability of feature selection methods has gained increasing attention. In fact, it has become a crucia...
Identifying Evolving Groups in Dynamic Multimode Networks
Found in: IEEE Transactions on Knowledge and Data Engineering
By Lei Tang,Huan Liu,Jianping Zhang
Issue Date:January 2012
pp. 72-85
A multimode network consists of heterogeneous types of actors with various interactions occurring between them. Identifying communities in a multimode network can help understand the structural properties of the network, address the data shortage and unbal...
A Web Services Selection Approach Based on Personalized QoS Prediction
Found in: Parallel and Distributed Computing, International Symposium on
By Huan Liu,Farong Zhong,Bang OuYang
Issue Date:July 2011
pp. 199-206
QoS (quality of service) prediction of web services plays an important role in selecting services when a consumer wants to try the services which he never used. Considering different consumers have different characteristics and different QoS experiences, w...
Cloud MapReduce: A MapReduce Implementation on Top of a Cloud Operating System
Found in: Cluster Computing and the Grid, IEEE International Symposium on
By Huan Liu, Dan Orban
Issue Date:May 2011
pp. 464-474
Like a traditional Operating System (OS), a cloud OS is responsible for managing the low level cloud resources and presenting a high level interface to the application programmers in order to hide the infrastructure details. However, unlike a traditional O...
Scalable Learning of Collective Behavior
Found in: IEEE Transactions on Knowledge and Data Engineering
By Lei Tang,Xufei Wang,Huan Liu
Issue Date:June 2012
pp. 1080-1091
This study of collective behavior is to understand how individuals behave in a social networking environment. Oceans of data generated by social media like Facebook, Twitter, Flickr, and YouTube present opportunities and challenges to study collective beha...
Discovering Overlapping Groups in Social Media
Found in: Data Mining, IEEE International Conference on
By Xufei Wang, Lei Tang, Huiji Gao, Huan Liu
Issue Date:December 2010
pp. 569-578
The increasing popularity of social media is shortening the distance between people. Social activities, e.g., tagging in Flickr, book marking in Delicious, twittering in Twitter, etc. are reshaping people’s social life and redefining their social roles. Pe...
An Approach for QoS-Aware Web Service Composition Based on Improved Genetic Algorithm
Found in: Web Information Systems and Mining, International Conference on
By Huan Liu, Farong Zhong, Bang Ouyang, Jiajie Wu
Issue Date:October 2010
pp. 123-128
One of the most interesting challenges introduced by web services is the dynamic compos ability. In this paper, An A-G algorithm(a modified Genetic Algorithm)is proposed to solve QoS-aware service composition problem, which is based on Ant Colony Optimizat...
Fuzzy Expert System Based Intelligent Website Assessment System
Found in: Computer and Information Technology, International Conference on
By Huan Liu, Shuang Zhang, Shixiong Zhang
Issue Date:July 2010
pp. 432-437
A method of website assessment that joins fuzzy logic with expert system is put forward to solving the uncertain problem in website assessment. In recent years, fuzzy logic technique has been used widespread in modeling of impreciseness, uncertainties and ...
Researching on Simulation of Traffic Accidents Scene by OpenGL
Found in: Computer and Information Technology, International Conference on
By Shuang Zhang, Huan Liu, Shixiong Zhang
Issue Date:July 2010
pp. 1566-1570
With the development of automotive industry and transportation, the safety of transportation is huge invisible trouble by bringing great convenience to human being for many years. As result, the reappearance for the simulation of traffic accidents scene is...
Toward Predicting Collective Behavior via Social Dimension Extraction
Found in: IEEE Intelligent Systems
By Lei Tang, Huan Liu
Issue Date:July 2010
pp. 19-25
<p>The social-dimension-based learning framework (SocioDim) can help predict online behaviors of social media users given a network and the behavior information of some actors in the network.</p>
Guest Editors' Introduction: Social Computing in the Blogosphere
Found in: IEEE Internet Computing
By Huan Liu, Philip S. Yu, Nitin Agarwal, Torsten Suel
Issue Date:March 2010
pp. 12-14
The widespread phenomenon of blogging demonstrates the power of citizen journalism and anytime information sharing. People can exchange personal experiences, voice opinions, offer suggestions, and form groups with genuine social activities. Blogs also act ...
Connecting Sparsely Distributed Similar Bloggers
Found in: Data Mining, IEEE International Conference on
By Nitin Agarwal, Huan Liu, Shankara Subramanya, John J. Salerno, Philip S. Yu
Issue Date:December 2009
pp. 11-20
The nature of the Blogosphere determines that the majority of bloggers are only connected with a small number of fellow bloggers, and similar bloggers can be largely disconnected from each other. Aggregating them allows for cost-effective personalized serv...
Uncoverning Groups via Heterogeneous Interaction Analysis
Found in: Data Mining, IEEE International Conference on
By Lei Tang, Xufei Wang, Huan Liu
Issue Date:December 2009
pp. 503-512
With the pervasive availability of Web 2.0 and social networking sites, people can interact with each other easily through various social media. For instance, popular sites like, Flickr, and YouTube allow users to comment shared content (bookma...
Quantifying Utility and Trustworthiness for Advice Shared on Online Social Media
Found in: Computational Science and Engineering, IEEE International Conference on
By Sai T. Moturu, Jian Yang, Huan Liu
Issue Date:August 2009
pp. 489-494
The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-developed content. While information is readily available, there is no easy way to find the most useful content or to detect whether it is tru...
A Practical Calculating Model Including Multi-mode Contributions for Along-wind Responses of Lattice Towers
Found in: Modelling, Simulation and Optimization, International Workshop on
By Guo-Huan Liu, Hong-Nan Li, Yang Wang
Issue Date:December 2008
pp. 289-293
A practical calculating model, based on the fundamental mode generalized force spectrum (FMGFS) obtained in a wind tunnel test and presented practical higher mode generalized force spectrum (HMGFS) model in along-wind direction of lattice tower, is further...
Mobile Social Assistive Technology: A Case Study in Supported Employment for People with Severe Mental Illness
Found in: Convergence Information Technology, International Conference on
By Yao-Jen Chang, Hung-Huan Liu, Tsen-Yung Wang
Issue Date:November 2008
pp. 442-447
Assistive technology so far has been focusing on promoting greater independence for people with disabilities by enabling them to perform tasks on a personal basis. Assistive technology that leverages networks of caregivers, who may be nomadic or even remai...
Clustering Blogs with Collective Wisdom
Found in: Web Engineering, International Conference on
By Nitin Agarwal, Magdiel Galan, Huan Liu, Shankar Subramanya
Issue Date:July 2008
pp. 336-339
Blogosphere is expanding in an unprecedented speed. A better understanding of the blogosphere can greatly facilitate the development of the Social Web to serve the needs of users, service providers and advertisers. One important task in this process is clu...
GridBatch: Cloud Computing for Large-Scale Data-Intensive Batch Applications
Found in: Cluster Computing and the Grid, IEEE International Symposium on
By Huan Liu, Dan Orban
Issue Date:May 2008
pp. 295-305
To be competitive, Enterprises are collecting and analyzing increasingly large amount of data in order to derive business insights. However, there are at least two challenges to meet the increasing demand. First, the growth in the amount of data far outpac...
Predicting Future High-Cost Patients: A Real-World Risk Modeling Application
Found in: Bioinformatics and Biomedicine, IEEE International Conference on
By Sai T. Moturu, William G. Johnson, Huan Liu
Issue Date:November 2007
pp. 202-208
Health care data from patients in the Arizona Health Care Cost Containment System, Arizona's Medicaid program, provides a unique opportunity to exploit state-of-the-art data processing and analysis algorithms to mine the data and provide actionable results...
A General Architecture of Mobile Social Network Services
Found in: Convergence Information Technology, International Conference on
By Yao-Jen Chang,Hung-Huan Liu,Li-Der Chou,Yen-Wen Chen,Haw-Yun Shin
Issue Date:November 2007
pp. 151-156
The widespread use of cellular telephones and the availability of user-location information are facilitating personalized location-based applications. The subscribed services that exist today have aimed to address the needs of entertainment, blind dates, a...
Adaptive Distance Metric Learning for Clustering
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Jieping Ye, Zheng Zhao, Huan Liu
Issue Date:June 2007
pp. 1-7
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metric learning algorithms appeal to projecting observed data onto a low-dimensio...
A Balanced Ensemble Approach to Weighting Classifiers for Text Classification
Found in: Data Mining, IEEE International Conference on
By Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Haixun Wang, David W. Cheung, Huan Liu
Issue Date:December 2006
pp. 869-873
This paper studies the problem of constructing an effective heterogeneous ensemble classifier for text classification. One major challenge of this problem is to formulate a good combination function, which combines the decisions of the individual classifie...
Query Selection Techniques for Efficient Crawling of Structured Web Sources
Found in: Data Engineering, International Conference on
By Ping Wu, Ji-Rong Wen, Huan Liu, Wei-Ying Ma
Issue Date:April 2006
pp. 47
The high quality, structured data from Web structured sources is invaluable for many applications. Hidden Web databases are not directly crawlable by Web search engines and are only accessible through Web query forms or via Web service interfaces. Recent r...
Evolving Feature Selection
Found in: IEEE Intelligent Systems
By Huan Liu, Edward R. Dougherty, Jennifer G. Dy, Kari Torkkola, Eugene Tuv, Hanchuan Peng, Chris Ding, Fuhui Long, Michael Berens, Lance Parsons, Zheng Zhao, Lei Yu, George Forman
Issue Date:November 2005
pp. 64-76
Feature selection is a preprocessing technique, commonly used on high-dimensional data, that studies how to select a subset or list of attributes or variables that are used to construct models describing data. Wide data sets, which have a huge number of fe...
Bias Analysis in Text Classification for Highly Skewed Data
Found in: Data Mining, IEEE International Conference on
By Lei Tang, Huan Liu
Issue Date:November 2005
pp. 781-784
Feature selection is often applied to high-dimensional data as a preprocessing step in text classification. When dealing with highly skewed data, we observe that typical feature selection metrics like information gain or chi-squared are biased toward selec...
Toward Integrating Feature Selection Algorithms for Classification and Clustering
Found in: IEEE Transactions on Knowledge and Data Engineering
By Huan Liu, Lei Yu
Issue Date:April 2005
pp. 491-502
This paper introduces concepts and algorithms of feature selection, surveys existing feature selection algorithms for classification and clustering, groups and compares different algorithms with a categorizing framework based on search strategies, evaluati...
Guard Channel Sharing Strategies in Integrated Voice/Data Mobile Networks
Found in: Advanced Information Networking and Applications, International Conference on
By Hung-Huan Liu
Issue Date:March 2004
pp. 79
Wireless mobile multimedia networks trend to adopt micro/pico-cellular architectures in order to earn higher spectral efficiency and support higher data rate than that of macro-cellular systems. Using small cell size architecture results in an increase of ...
Feature Selection for Clustering - A Filter Solution
Found in: Data Mining, IEEE International Conference on
By Manoranjan Dash, Kiseok Choi, Peter Scheuermann, Huan Liu
Issue Date:December 2002
pp. 115
Processing applications with a large number of dimensions has been a challenge to the KDD community. Feature selection, an effective dimensionality reduction technique, is an essential pre-processing method to remove noisy features. In the literature there...
Efficient Mapping of Range Classifier into Ternary-CAM
Found in: High-Performance Interconnects, Symposium on
By Huan Liu
Issue Date:August 2002
pp. 95
Packet classification is inherently a multi dimensional search problem which is either very computation intensive or memory intensive for software implementation. Thus, hardware based solution is necessary to keep up with gigabit line rate processing. In t...
Efficient Yet Accurate Clustering
Found in: Data Mining, IEEE International Conference on
By Manoranjan Dash, Kian Lee Tan, Huan Liu
Issue Date:December 2001
pp. 99
In this paper we show that most hierarchical agglomerative clustering (HAC)algorithms follow a 90-10 rule where roughly 90%iterations from the beginning merge cluster pairs with dissimilarity less than 10%of the maximum dissimilarity. We propose two algori...
Reducing Routing Table Size Using Ternary-CAM
Found in: High-Performance Interconnects, Symposium on
By Huan Liu
Issue Date:August 2001
pp. 0069
Abstract: Ternary Content Addressable Memory (TCAM) has increasingly been used in high speed routers to perform routing lookup function. They allow simultaneous comparison of the key with every index at the same time so that the longest matched prefix coul...
Toward Multidatabase Mining: Identifying Relevant Databases
Found in: IEEE Transactions on Knowledge and Data Engineering
By Huan Liu, Hongjun Lu, Jun Yao
Issue Date:July 2001
pp. 541-553
<p><b>Abstract</b>—Various tools and systems for knowledge discovery and data mining are developed and available for applications. However, when we are immersed in heaps of databases, an immediate question is where we should start mining....
'1 +1> 2': Merging Distance and Density Based Clustering
Found in: Database Systems for Advanced Applications, International Conference on
By Manoranjan Dash, Huan Liu, Xiaowei Xu
Issue Date:April 2001
pp. 0032
Abstract: Clustering is an important data exploration task. Its use in data mining is growing very fast. Traditional clustering algorithms which no longer cater to the data mining requirements are modified increasingly. Clustering algorithms are numerous w...
An Adaptive Multirate IEEE 802.11 Wireless LAN
Found in: Information Networking, International Conference on
By Jean-Lien C. Wu, Hung-Huan Liu, Yi-Jen Lung
Issue Date:February 2001
pp. 411
In order to enhance the system capacity of wireless LANs, we propose in this paper using the frame-based adaptive multirate transmission scheme in the IEEE 802.11 and evaluate its performance. Typically, high-speed modulation schemes would require higher S...
Mining Weak Rules
Found in: Computer Software and Applications Conference, Annual International
By Huan Liu, Hongjun Lu
Issue Date:October 1999
pp. 309
Finding patterns from data sets is a fundamental task of data mining. If we categorize all patterns into strong, weak, and random, conventional data mining techniques are designed only to find strong patterns, which hold for numerous objects and are usuall...
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