Results 1 - 10 of 763

Knowledge Discovery in Databases: An Attribute-Oriented Approach

by Jiawei Han , Yandong Cai, Nick Cercone , 1992
"... Knowledge discovery in databases, or data mining, is an important issue in the development of data- and knowledge-base systems. An attribute-oriented induction method has been developed for knowledge discovery in databases. The method integrates a machine learning paradigm, especially learning-from- ..."
Abstract - Cited by 176 (15 self) - Add to MetaCart
Knowledge discovery in databases, or data mining, is an important issue in the development of data- and knowledge-base systems. An attribute-oriented induction method has been developed for knowledge discovery in databases. The method integrates a machine learning paradigm, especially learning

Developments in the Measurement of Subjective Well-Being

by Daniel Kahneman , Alan B Krueger - Psychological Science. , 1993
"... F or good reasons, economists have had a long-standing preference for studying peoples' revealed preferences; that is, looking at individuals' actual choices and decisions rather than their stated intentions or subjective reports of likes and dislikes. Yet people often make choices that b ..."
Abstract - Cited by 284 (7 self) - Add to MetaCart
individuals' responses to subjective well-being questions vary with their circumstances and other factors. We will argue that it is fruitful to distinguish among different conceptions of utility rather than presume to measure a single, unifying concept that motivates all human choices and registers all

Semantic integration research in the database community: A brief survey

by Anhai Doan, Alon Y. Halevy - AI Magazine , 2005
"... Semantic integration has been a long-standing challenge for the database community. It has received steady attention over the past two decades, and has now become a prominent area of database research. In this article, we first review database applications that require semantic integration, and disc ..."
Abstract - Cited by 145 (4 self) - Add to MetaCart
Semantic integration has been a long-standing challenge for the database community. It has received steady attention over the past two decades, and has now become a prominent area of database research. In this article, we first review database applications that require semantic integration

Event-Driven Semantic Concept Discovery by Exploiting Weakly Tagged Internet Images

by Jiawei Chen, Yin Cui, Guangnan Ye, Dong Liu, Shih-fu Chang
"... Analysis and detection of complex events in videos require a se-mantic representation of the video content. Existing video seman-tic representation methods typically require users to pre-define an exhaustive concept lexicon and manually annotate the presence of the concepts in each video, which is i ..."
Abstract - Cited by 5 (2 self) - Add to MetaCart
. We show significant performance gains of the proposed concept discovery method over different video event detection tasks including supervised event modeling over concept space and semantic based zero-shot retrieval without training ex-amples. Importantly, we show the proposed method of automatic

What you always wanted to know about Datalog (and never dared to ask)

by Stefan Ceri, Georg Gottlob, Letizia Tanca - IEEE TRANSACTIONS KNOWLEDGE AND DATA ENGINEERING , 1989
"... Datalog is a database query language based on the logic programming paradigm; it has been designed and intensively studied over the last five years. We present the syntax and semantics of Datalog and its use for querying a relational database. Then, we classify optimization methods for achieving eff ..."
Abstract - Cited by 200 (3 self) - Add to MetaCart
Datalog is a database query language based on the logic programming paradigm; it has been designed and intensively studied over the last five years. We present the syntax and semantics of Datalog and its use for querying a relational database. Then, we classify optimization methods for achieving

Discovery of Convoys in Trajectory Databases

by Hoyoung Jeung, Man Lung, Yiu Xiaofang, Zhou Christian, S. Jensen, Heng Tao Shen
"... As mobile devices with positioning capabilities continue to proliferate, data management for so-called trajectory databases that capture the historical movements of populations of moving objects becomes important. This paper considers the querying of such databases for convoys, a convoy being a grou ..."
Abstract - Cited by 54 (3 self) - Add to MetaCart
group of objects that have traveled together for some time. More specifically, this paper formalizes the concept of a convoy query using density-based notions, in order to capture groups of arbitrary extents and shapes. Convoy discovery is relevant for reallife applications in throughput planning

Semantic Concept Discovery for Large-Scale Zero-Shot Event Detection

by Xiaojun Chang, Yi Yang, Er G. Hauptmann, Eric P. Xing, Yao-liang Yu
"... We focus on detecting complex events in uncon-strained Internet videos. While most existing works rely on the abundance of labeled training data, we consider a more difficult zero-shot setting where no training data is supplied. We first pre-train a number of concept classifiers using data from othe ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
other sources. Then we evaluate the semantic correla-tion of each concept w.r.t. the event of interest. Af-ter further refinement to take prediction inaccuracy and discriminative power into account, we apply the discovered concept classifiers on all test videos and obtain multiple score vectors

InfoSleuth: Agent-Based Semantic Integration of Information in Open and Dynamic Environments

by R. J. Bayardo, Jr., W. Bohrer, R. Brice, A. Cichocki, J. Fowler, A. Helal, V. Kashyap, V. Kashyap T. Ksiezyk, G. Martin, M. Nodine, M. Rashid, M. Rusinkiewicz, R. Shea, C. Unnikrishnan, A. Unruh, D. Woelk , 1997
"... The goM of the InfoSleuth project at MCC is to exploit and synthesize new technologies into a unified system that retrieves and processes information in an ever-changing net- work of information sources. InfoSleuth has its roots in the Carnot project at MCC, which specialized in integrating heteroge ..."
Abstract - Cited by 111 (4 self) - Add to MetaCart
-changing environment. On the other hand, recent Web technologies, based on keyword search engines, are scalable but, unlike federated databases, are incapable of accessing information based on concepts. In this experience paper, we describe the architecture, design, and implementation of a working version of Info

Hidden semantic concept discovery in region based image retrieval

by Ruofei Zhang, Zhongfei (mark Zhang - In Proc. CVPR , 2004
"... This paper addresses Content Based Image Retrieval (CBIR), focusing on developing a hidden semantic concept discovery methodology to address effective semanticsintensive image retrieval. In our approach, each image in the database is segmented to regions associated with homogenous color, texture, an ..."
Abstract - Cited by 26 (4 self) - Add to MetaCart
This paper addresses Content Based Image Retrieval (CBIR), focusing on developing a hidden semantic concept discovery methodology to address effective semanticsintensive image retrieval. In our approach, each image in the database is segmented to regions associated with homogenous color, texture

An Event Set Approach to Sequence Discovery in Medical Data

by Jorge C. G. Ramirez, Dolores M. Peterson, Lynn L. Peterson, Diane J. Cook, Diane J. Cook
"... : The goal of the research being reported is the discovery of useful concepts in temporal medical databases. Building on previous experiments, we introduce TEMPADIS, the Temporal Pattern Discovery System, which uses our Event Set Sequence approach to discover sequential patterns in medical data. We ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
: The goal of the research being reported is the discovery of useful concepts in temporal medical databases. Building on previous experiments, we introduce TEMPADIS, the Temporal Pattern Discovery System, which uses our Event Set Sequence approach to discover sequential patterns in medical data
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