1. Developing a Unifying Theory of Data Mining(统一的理论) 数据挖掘研究的当前状态太“特别”。许多技术都是针对个体问题设计的,如分类或聚类,但没有统一的理论。然而,统一不同数据挖掘任务(包括聚类,分类,关联规则等)以及不同数据挖掘方法(如统计,机器学习,数据库系统等)的理论框架将有助于该领域 并为未来的...
In October 2005, we took an initiative to identify 10 challenging problems in data mining research, by consulting some of the most active researchers in data mining and machine learning for their opinions on what are considered important and worthy topics for future research in data mining. We ...
Challenges and Problems in Data Cleaning Below are some major challenges and problems that are faced while cleaning the data ? Incomplete and Missing Data One of the main challenges in data cleansing is the management of inadequate or absent data. In practical situations, it is frequently encounter...
Optimization Problems in Data Mining 来自 Semantic Scholar 喜欢 0 阅读量: 36 作者: C Heeren 摘要: One natural, yet unusual, source of data is the set of queries that are performed on a database. We consider such queries to be reflective of data access patterns and we use them to create...
Knowledge discovery in databases and data mining aim at semiautomatic tools for the analysis of large data sets. We consider some methods used in data mining, concentrating on levelwise search for all frequently occurring patterns. We show how this techn
Two antiform structures in the Mura Depression were selected as the most promising in Slovenia for the construction of an underground gas storage facility in an aquifer. Seventeen reflection lines with a total length of 157km were recorded, and three boreholes were drilled. Structural models ...
data mining in an attempt to construct event profiles, they are WAY off due to the base rate fallacy. Even if they do have an event profile they are looking for, the Farley article demonstrates that the base rate fallacy still applies – there’s too much irrelevant information in phone ...
In this work, we propose a methodology that combines data mining techniques with semantic data in order to overcome these two important shortcomings. 展开 关键词: associative classification cold-start first-rater recommender systems semantic web mining ...
- 《Journal of China University of Mining & Technology》 被引量: 27发表: 2005年 Sensitivity Problems in Data Processing and Control1 The paperonsidershepplicationsfensitivityheoryonalyzing data processingndontrolystems in nondesignodes,oeducing errorodels,oimplifyingilters in data processingystem...
We have observed the following two problems that widely exist in most of data mining research. First, parameters will hurt the potential of spreading the ideas in the research community. In a lot of works, there are usually several parameters to tune in the proposed method. We claim that ...