Thousands of business news stories (including press releases, earningsreports, general business news, etc.) are released each day. Recently, informationtechnology advances have partially automated the processing ofdocuments, reducing the amount of text that must be read. Current techniques(e.g.,...

We address the problem of comparing the performance of classifiers. In this paper we study techniques for generating and evaluating bands on ROC curves. Historically this has been done using one-dimensional confidence intervals by freezing one variable - false-positiverate, or threshold on the...

Thousands of business news stories (including press releases, earningsreports, general business news, etc.) are released each day. Recently, informationtechnology advances have partially automated the processing ofdocuments, reducing the amount of text that must be read. Current techniques(e.g.,...

We investigate the hypothesis: those consumers who have communicated with a customer of aparticular service have increased likelihood of adopting the service. We survey the diverseliterature on such quot;viral marketing,quot; providing a categorization of the specific research questionsasked,...

This paper presents NetKit, a modular toolkit for classification in networked data, and a case-studyof its application to a collection of networked data sets used in prior machine learning research.Networked data are relational data where entities are interconnected, and this paper considers...

This paper is about constructing confidence bands around an ROCcurve such that (1 - \delta)% of the ROC curves traced by data setsof size r will fall completely within the bands. We introduce tothe machine learning community three methods from the medicalfield that are applicable to generate...

Feature construction through aggregation plays an essential role in modeling relationaldomains with one-to-many relationships between tables. One-to-many relationshipslead to bags (multisets) of related entities, from which predictive informationmust be captured. This paper focuses on...

When entities are linked by explicit relations, classification methodsthat take advantage of the network can perform substantiallybetter than methods that ignore the network. This paper arguesthat studies of relational classification in networked data shouldinclude simple network-only methods as...

In this paper we study techniques for generating and evaluatingconfidence bands on ROC curves. ROC curve evaluation israpidly becoming a commonly used evaluation metric in machinelearning, although evaluating ROC curves has thus far been limitedto studying the area under the curve (AUC) or...

Due to interest in social and economic networks, relational modeling isattracting increasing attention. The field of relational datamining/learning, which traditionally was dominated by logic-basedapproaches, has recently been extended by adapting learning methods suchas naive Bayes, Baysian...