Search Results

The main goal of Data Mining is the research of relevant information from a huge volume of data. It is generally achieved either by automatic algorithms or by the visual exploration of data. Thanks to algorithms, an exhaustive set of patterns matching ...

The second track of this year's KDD Cup asked contestants to separate a user's highly rated songs from unrated songs for a large set of Yahoo! Music listeners. We cast this task as a binary classification problem and addressed it utilizing gradient ...

We present the ideas and methodologies that we used to address the KDD Cup 2009 challenge on rank-ordering the probability of churn, appetency and up-selling of wireless customers. We choose stochastic gradient boosting tree (TreeNet®) as our main ...

KDD Cup 2007 focuses on movie rating behaviors. The goal of the task "Who Rated What" is to predict whether "existing" users will review "existing" movies in the future. We cast the task as a link prediction problem and address it via a simple ...

The KDD Cup is the oldest of the many data mining competitions that are now popular [1]. It is an integral part of the annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). In 2007, the traditional KDD Cup competition ...

This 2004 KDD Cup presents a perfect case where the usual neural network objective functions do not apply. While the contest problem consisted of 4 different entries with 4 different objective functions, this paper will focus on the solution optimizing ...

This paper describes our solution for the protein homology prediction task in KDD Cup 2004 competition. This task is modeled as a supervised learning problem with multiple performance metrics. Several key characteristics make the problem both novel and ...

In this paper, we present the methodology followed by Inductis in developing the predictive models for Quantum Physics task in KDD Cup 2004. We discuss many challenges that we faced in approaching the task and how we overcame them. We explored the ...

What is the difference between matter and anti-matter? A. I. Insight's winning solution on the Particle Physics Task for the 2004 KDD Cup demonstrates how an accurate predictive model can be formulated without knowledge of the content of the data. ...

In order to solve task 2 of the KDD Cup 2002, we exploited various available information sources. In particular, use of relational information describing the interactions among genes and information automatically extracted from scientific abstracts ...

In this paper, we describe techniques that can be used to predict the effects of gene deletion. We will focus mainly on the creation of predictive variables, and then briefly discuss different modeling techniques that have been used successfully on this ...

This paper presents a background and overview for task 1 (of 2 tasks) of the KDD Challenge Cup 2002, a competition held in conjunction with the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), July 23--26, 2002. Task 1 ...