Mining for Patterns Based on Contingency Tables by KL-Miner - First Experience

نویسندگان

  • Jan Rauch
  • Milan Simunek
  • Václav Lín
چکیده

A new datamining procedure called KL–Miner is presented. The procedure mines for various patterns based on evaluation of two–dimensional contingency tables, including patterns of statistical nature. The procedure is a result of continued development of the academic LISp-Miner system for KDD.

برای دانلود 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

FUZZY GRAVITATIONAL SEARCH ALGORITHM AN APPROACH FOR DATA MINING

The concept of intelligently controlling the search process of gravitational search algorithm (GSA) is introduced to develop a novel data mining technique. The proposed method is called fuzzy GSA miner (FGSA-miner). At first a fuzzy controller is designed for adaptively controlling the gravitational coefficient and the number of effective objects, as two important parameters which play major ro...

متن کامل

An Apriori-based Approach for First-Order Temporal Pattern Mining

Previous studies on mining sequential patterns have focused on temporal patterns specified by some form of propositional temporal logic. However, there are some interesting sequential patterns whose specification needs a more expressive formalism, the first-order temporal logic. In this paper, we focus on the problem of mining multisequential patterns which are first-order temporal patterns (no...

متن کامل

Extracting Correlated Patterns on Multicore Architectures

In this paper, we present a new approach relevant to the discovery of correlated patterns, based on the use of multicore architectures. Our work rests on a full KDD system and allows one to extract Decision Correlation Rules based on the Chi-squared criterion that include a target column from any database. To achieve this objective, we use a levelwise algorithm as well as contingency vectors, a...

متن کامل

FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning

High utility itemset mining is a challenging task in frequent pattern mining, which has wide applications. The state-of-the-art algorithm is HUI-Miner. It adopts a vertical representation and performs a depth-first search to discover patterns and calculate their utility without performing costly database scans. Although, this approach is effective, mining high-utility itemsets remains computati...

متن کامل

Monitoring Patterns through an Integrated Management and Mining Tool

Patterns upon the data of many real applications are affected by changes in these data. We employ PATTERN-MINER tool to detect changes of clusterings extracted from dynamic data and thus, to provide insight on the dataset and to support strategic decisions. PATTERN-MINER, is an integrated environment for pattern (data mining model) management and mining that deals with the whole lifecycle of pa...

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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006