Towards a Theory of Interestingness

نویسنده

  • V. W. Marek
چکیده

There are a wide variety of applications that either require or assume the existence of some underlying definition of “interestingness.” However, interests vary from user to user, from situation to situation, and from one time to another. This diversity of interests cannot be captured through a single definition. In this paper, we propose a framework called Full Interestingness Programs (FIPs) that form a subclass of the Hybrid Knowledge Base Paradigm of Lu, Nerode and Subrahmanian. FIPs may be built “on top” of any query language whatsoever. Using FIPs, interests may be easily expressed and captured, and used on an application-specific basis using an application-independent FIP-evaluator. In this paper, we provide a formal semantics for FIPs, as well as techniques for processing requests (queries) to FIPs. University of Maryland Technical Report CS-TR-3817 and UMIACS-TR-97-57, July 25, 1997.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Towards a theory unifying implicative interestingness measures and critical values consideration in MGK

The present paper shows the possibility and the benefit to compute statistical freshold for the so-called Guillaume-Kenchaff interestingness measure MGK of association rule and compares it with other measures as Confidence, Lift and Lovinger’s one. Afterwards, it proposes a theory of normalized interestingness measure unifying a set of rule quality measures in a binary context and being surpris...

متن کامل

User-Driven Ranking for Measuring the Interestingness of Knowledge Patterns

Choosing thresholds for knowledge discovery algorithms to achieve a set of results which either solve a specific problem or are optimised towards the users desires requires the re-run of the algorithm, which is a tedious and time-consuming procedure. Within this paper an importance based interestingness measure is introduced that can be applied as a posterior phase. In addition three manipulati...

متن کامل

Principles for mining summaries using objective measures of interestingness

An important problem in the area of data mining is the development of eeective measures of interestingness for ranking discovered knowledge. In this paper, we propose ve principles that any measure must satisfy to be considered useful for ranking the interestingness of summaries generated from databases. We investigate the problem within the context of summarizing a single dataset which can be ...

متن کامل

Exception Rule Mining with a Relative Interestingness Measure

This paper presents a method for mining exception rules based on a novel measure which estimates interestingness relative to its corresponding common sense rule and reference rule. Mining interesting rules is one of the important data mining tasks. Interesting rules bring novel knowledge that helps decision makers for advantageous actions. It is true that interestingness is a relative issue tha...

متن کامل

Rule Mining with a RelativeInterestingness

This paper presents a method for mining exception rules based on a novel measure which estimates interestingness relative to its corresponding common sense rule and reference rule. Mining interesting rules is one of the important data mining tasks. Interesting rules bring novel knowledge that helps decision makers for advantageous actions. It is true that interestingness is a relative issue tha...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006