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Mining the Network Value of Customers

by Pedro Domingos, Matt Richardson - In Proceedings of the Seventh International Conference on Knowledge Discovery and Data Mining , 2002
"... One of the major applications of data mining is in helping companies determine which potential customers to market to. If the expected pro t from a customer is greater than the cost of marketing to her, the marketing action for that customer is executed. So far, work in this area has considered only ..."
Abstract - Cited by 568 (11 self) - Add to MetaCart
|can be extremely eective, but is still a black art. Our work can be viewed as a step towards providing a more solid foundation for it, taking advantage of the availability of large relevant databases. Categories and Subject Descriptors H.2.8 [Database Management]: Database Applications| data mining

Computing semantic relatedness using Wikipedia-based explicit semantic analysis

by Evgeniy Gabrilovich, Shaul Markovitch - In Proceedings of the 20th International Joint Conference on Artificial Intelligence , 2007
"... Computing semantic relatedness of natural language texts requires access to vast amounts of common-sense and domain-specific world knowledge. We propose Explicit Semantic Analysis (ESA), a novel method that represents the meaning of texts in a high-dimensional space of concepts derived from Wikipedi ..."
Abstract - Cited by 562 (9 self) - Add to MetaCart
with the previous state of the art, using ESA results in substantial improvements in correlation of computed relatedness scores with human judgments: from r =0.56 to 0.75 for individual words and from r =0.60 to 0.72 for texts. Importantly, due to the use of natural concepts, the ESA model is easy to explain

Exploratory Mining and Pruning Optimizations of Constrained Associations Rules

by Raymond T. Ng, Laks V.S. Lakshmanan, Alex Pang, Jiawei Hah , 1998
"... From the standpoint of supporting human-centered discovery of knowledge, the present-day model of mining association rules suffers from the following serious shortcom- ings: (i) lack of user exploration and control, (ii) lack of focus, and (iii) rigid notion of relationships. In effect, this model f ..."
Abstract - Cited by 313 (44 self) - Add to MetaCart
functions as a black-box, admitting little user interaction in between. We propose, in this paper, an architecture that opens up the black-box, and supports constraintbased, human-centered exploratory mining of associations. The foundation of this architecture is a rich set of con- straint constructs

iPlane: An information plane for distributed services

by Harsha V. Madhyastha, Tomas Isdal, Michael Piatek, Colin Dixon, Thomas Anderson, Arvind Krishnamurthy, Arun Venkataramani - In OSDI 2006
"... Abstract — In this paper, we present the design, implementation, and evaluation of the iPlane, a scalable service providing accurate predictions of Internet path performance for emerging overlay services. Unlike the more common black box latency prediction techniques in use today, the iPlane builds ..."
Abstract - Cited by 297 (25 self) - Add to MetaCart
Abstract — In this paper, we present the design, implementation, and evaluation of the iPlane, a scalable service providing accurate predictions of Internet path performance for emerging overlay services. Unlike the more common black box latency prediction techniques in use today, the iPlane builds

Nonlinear Black-Box Modeling in System Identification: a Unified Overview

by Jonas Sjöberg, Qinghua Zhang, Lennart Ljung, Albert Benveniste, Bernard Deylon, Pierre-yves Glorennec, Hakan Hjalmarsson, Anatoli Juditsky - Automatica , 1995
"... A nonlinear black box structure for a dynamical system is a model structure that is prepared to describe virtually any nonlinear dynamics. There has been considerable recent interest in this area with structures based on neural networks, radial basis networks, wavelet networks, hinging hyperplanes, ..."
Abstract - Cited by 225 (16 self) - Add to MetaCart
A nonlinear black box structure for a dynamical system is a model structure that is prepared to describe virtually any nonlinear dynamics. There has been considerable recent interest in this area with structures based on neural networks, radial basis networks, wavelet networks, hinging hyperplanes

WebMate: A Personal Agent for Browsing and Searching

by Liren Chen, Katia Sycara - In Proceedings of the Second International Conference on Autonomous Agents , 1998
"... The World-Wide Web is developing very fast. Currently, finding useful information on the Web is a time consuming process. In this paper, we present WebMate, an agent that helps users to effectively browse and search the Web. WebMate extends the state of the art in Web-based information retrieval in ..."
Abstract - Cited by 239 (10 self) - Add to MetaCart
The World-Wide Web is developing very fast. Currently, finding useful information on the Web is a time consuming process. In this paper, we present WebMate, an agent that helps users to effectively browse and search the Web. WebMate extends the state of the art in Web-based information retrieval

ELM-ART: An Adaptive Versatile System for Web-Based Instruction

by Gerhard Weber, Peter Brusilovsky - Int’l J. Artificial Intelligence in Education , 2001
"... Abstract: This paper discusses the problems of developing versatile adaptive and intelligent learning systems that can be used in the context of practical Web-based education. We argue that versatility is an important feature of successful Web-based education systems. We introduce ELM-ART, an intell ..."
Abstract - Cited by 197 (13 self) - Add to MetaCart
, an intelligent interactive educational system to support learning programming in LISP. ELM-ART provides all learning material online in the form of an adaptive interactive textbook. Using a combination of an overlay model and an episodic student model, ELM-ART provides adaptive navigation support, course

A Survey of Collaborative Filtering Techniques

by Xiaoyuan Su, Taghi M. Khoshgoftaar , 2009
"... As one of the most successful approaches to building recommender systems, collaborative filtering (CF) uses the known preferences of a group of users to make recommendations or predictions of the unknown preferences for other users. In this paper, we first introduce CF tasks and their main challenge ..."
Abstract - Cited by 216 (0 self) - Add to MetaCart
As one of the most successful approaches to building recommender systems, collaborative filtering (CF) uses the known preferences of a group of users to make recommendations or predictions of the unknown preferences for other users. In this paper, we first introduce CF tasks and their main

From Mirroring to Guiding: A Review of State of the Art Technology for Supporting Collaborative Learning

by Patrick Jermann, Amy Soller, Martin Muehlenbrock - Proceedings of the First European Conference on Computer-Supported Collaborative Learning
"... : We review systems that support the management of collaborative interaction, and propose a classification framework built on a simple model of coaching. Our framework distinguishes between mirroring systems, which display basic actions to collaborators, metacognitive tools, which represent the stat ..."
Abstract - Cited by 169 (14 self) - Add to MetaCart
: We review systems that support the management of collaborative interaction, and propose a classification framework built on a simple model of coaching. Our framework distinguishes between mirroring systems, which display basic actions to collaborators, metacognitive tools, which represent

PlanetP: Using Gossiping to Build Content Addressable Peer-to-Peer Information Sharing Communities

by Francisco Matias Cuenca-acuna, Christopher Peery, Richard P. Martin, Thu D. Nguyen , 2003
"... Abstract. We present PlanetP, a peer-to-peer (P2P) content search and retrieval infrastructure targeting communities wishing to share large sets of text documents. P2P computing is an attractive model for information sharing between ad hoc groups of users because of its low cost of entry and explici ..."
Abstract - Cited by 194 (11 self) - Add to MetaCart
Abstract. We present PlanetP, a peer-to-peer (P2P) content search and retrieval infrastructure targeting communities wishing to share large sets of text documents. P2P computing is an attractive model for information sharing between ad hoc groups of users because of its low cost of entry
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