Results 1 - 10 of 159

Clustering categorical data: An approach based on dynamical systems

by David Gibson, Jon Kleinberg, Prabhakar Raghavan , 1998
"... We describe a novel approach for clustering col-lections of sets, and its application to the analysis and mining of categorical data. By “categorical data, ” we mean tables with fields that cannot be naturally ordered by a metric- e.g., the names of producers of automobiles, or the names of prod-uct ..."
Abstract - Cited by 180 (1 self) - Add to MetaCart
We describe a novel approach for clustering col-lections of sets, and its application to the analysis and mining of categorical data. By “categorical data, ” we mean tables with fields that cannot be naturally ordered by a metric- e.g., the names of producers of automobiles, or the names of prod

Clustering categorical data

by Yi Zhang, Ada Wai-chee Fu, Chun Hing Cai, Pheng Ann Heng - IN: PROC OF ICDE’00 , 2000
"... In this paper we propose two methods to study the problem of clustering categorical data. The first method is based on dynamical system approach. The second method is based on the graph partitioning approach. Dynamical systems approach for clustering categorical data have been studied by some author ..."
Abstract - Cited by 18 (0 self) - Add to MetaCart
In this paper we propose two methods to study the problem of clustering categorical data. The first method is based on dynamical system approach. The second method is based on the graph partitioning approach. Dynamical systems approach for clustering categorical data have been studied by some

Keyword Search over Dynamic Categorized Information

by Manish Bhide, Venkatesan T. Chakaravarthy, Krithi Ramamritham, Prasan Roy
"... Abstract — Consider an information repository whose content is categorized. A data item (in the repository) can belong to multiple categories and new data is continuously added to the system. In this paper, we describe a system, CS*, which takes a keyword query and returns the relevant top-K categor ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
-K categories. In contrast, traditional keyword search returns the top-K documents (i.e., data items) relevant to a user query. The need to dynamically categorize new data and also update the meta-data required for fast responses to user queries poses interesting challenges. The brute force approach of updating

Categorization of Underwater Habitats Using Dynamic Video Textures

by Jun Hu, Han Zhang, Anastasia Miliou, Thodoris Tsimpidis, Hazel Thornton, Vladimir Pavlovic
"... In this paper, we deal with the problem of categoriz-ing different underwater habitat types. Previous works on solving this categorization problem are mostly based on the analysis of underwater images. In our work, we design a system capable of categorizing underwater habitats based on underwater vi ..."
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of the Bag-of-Systems(BoSs). We also introduce a new underwater video data set, which is composed of more than 100 hours of annotated video sequences. Our results indicate that, for the underwater habitat identification, the dynamic texture approach has multiple benefits over the traditional STIP-based video

Spam filtering using statistical data compression models

by Andrej Bratko, Gordon V. Cormack, David R, Bogdan Filipič, Philip Chan, Thomas R. Lynam, Thomas R. Lynam - Journal of Machine Learning Research , 2006
"... Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade filtering. Since spam evolves continuously and most practical applications are based on online user feedback, the task call ..."
Abstract - Cited by 72 (12 self) - Add to MetaCart
calls for fast, incremental and robust learning algorithms. In this paper, we investigate a novel approach to spam filtering based on adaptive statistical data compression models. The nature of these models allows them to be employed as probabilistic text classifiers based on character-level or binary

Categorization Using Semi-Supervised Clustering

by Jianying Hu, Moninder Singh, Aleksandra Mojsilovic - Proc. 19th ICPR , 2008
"... Many applications require matching objects to a predefined, yet highly dynamic set of categories accompanied by category descriptions. We present a novel approach to solving this class of categorization problems by formulating it in a semi-supervised clustering framework. Text-based matching is perf ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Many applications require matching objects to a predefined, yet highly dynamic set of categories accompanied by category descriptions. We present a novel approach to solving this class of categorization problems by formulating it in a semi-supervised clustering framework. Text-based matching

Dumb money: Mutual fund flows and the cross section of stock returns,

by Andrea Frazzini , Owen A Lamont - Journal of Financial Economics, , 2008
"... We thank Nicholas Barberis and Judith Chevalier for helpful comments. We thank Breno Schmidt for research assistance. ABSTRACT We use mutual fund flows as a measure for individual investor sentiment for different stocks, and find that high sentiment predicts low future returns. Fund flows are dumb ..."
Abstract - Cited by 103 (4 self) - Add to MetaCart
by investors over time. For example, the growth/value category was not widely used in 1980. Instead, we impose no categorical structure on the data and just follow the flows. Most strikingly, we are able to document that the fund flow effect is highly related to the value effect, a finding that could not have

Understanding Dynamic Scenes

by A. Chella , M. Frixione , S. Gaglio , 2000
"... We propose a framework for the representation of visual knowledge in a robotic agent, with special attention to the understanding of dynamic scenes. According to our approach, understanding involves the generation of a high level, declarative description of the perceived world. Developing such a des ..."
Abstract - Cited by 44 (12 self) - Add to MetaCart
. On the one hand, the computer vision community approached this problem in terms of 2D/3D shape reconstruction and of estimation of motion parameters. On the other, the AI community developed rich and expressive systems for the description of processes, events, actions and, in general, of dynamic situations

Categorizing information objects from user access patterns

by Mao Chen - In CIKM '02: Proceedings of the eleventh international conference on Information and knowledge management , 2002
"... Many web sites have dynamic information objects whose topics change over time. Classifying these objects automatically and promptly is a challenging and important problem for site masters. Traditional content-based and link structure based classification techniques have intrinsic limitations for thi ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
Many web sites have dynamic information objects whose topics change over time. Classifying these objects automatically and promptly is a challenging and important problem for site masters. Traditional content-based and link structure based classification techniques have intrinsic limitations

Adaptive Categorization of Complex System Fault Patterns

by Seyed Shahrestani
"... Abstract:- Due to large amount of information and the inherent intricacy, diagnosis in complex systems is a difficult task. This can be somehow simplified by taking a per-step towards categorizing the system conditions and faults. In this paper, the development and implementation of an approach that ..."
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of faults in dynamic and complex systems. For evaluation purposes, using the data provided by the protection simulator of a large power system, its fault diagnosis is carried out. The results of those simulations are also reported. They clearly reveal that even for complex systems, the proposed approach
Results 1 - 10 of 159