Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A tutorial on statistically sound pattern discovery
Statistically sound pattern discovery harnesses the rigour of statistical hypothesis testing to
overcome many of the issues that have hampered standard data mining approaches to …
overcome many of the issues that have hampered standard data mining approaches to …
The minimum description length principle for pattern mining: a survey
E Galbrun - Data mining and knowledge discovery, 2022 - Springer
Mining patterns is a core task in data analysis and, beyond issues of efficient enumeration,
the selection of patterns constitutes a major challenge. The Minimum Description Length …
the selection of patterns constitutes a major challenge. The Minimum Description Length …
Efficient discovery of statistically significant association rules
Searching statistically significant association rules is an important but neglected problem.
Traditional association rules do not capture the idea of statistical dependence and the …
Traditional association rules do not capture the idea of statistical dependence and the …
Interesting patterns
Pattern mining is one of the most important aspects of data mining. By far the most popular
and well-known approach is frequent pattern mining. That is, to discover patterns that occur …
and well-known approach is frequent pattern mining. That is, to discover patterns that occur …
StatApriori: an efficient algorithm for searching statistically significant association rules
Searching statistically significant association rules is an important but neglected problem.
Traditional association rules do not capture the idea of statistical dependence and the …
Traditional association rules do not capture the idea of statistical dependence and the …
Finding good itemsets by packing data
The problem of selecting small groups of itemsets that represent the data well has recently
gained a lot of attention. We approach the problem by searching for the itemsets that …
gained a lot of attention. We approach the problem by searching for the itemsets that …
Essential classification rule sets
Given a class model built from a dataset including labeled data, classification assigns a new
data object to the appropriate class. In associative classification the class model (ie, the …
data object to the appropriate class. In associative classification the class model (ie, the …
Using background knowledge to rank itemsets
Assessing the quality of discovered results is an important open problem in data mining.
Such assessment is particularly vital when mining itemsets, since commonly many of the …
Such assessment is particularly vital when mining itemsets, since commonly many of the …
Interestingness of association rules in data mining: Issues relevant to e-commerce
The ubiquitous low-cost connectivity synonymous with the internet has changed the
competitive business environment by dissolving traditional sources of competitive …
competitive business environment by dissolving traditional sources of competitive …
A statistical framework for mining substitution rules
In this paper, a new mining capability, called mining of substitution rules, is explored. A
substitution refers to the choice made by a customer to replace the purchase of some items …
substitution refers to the choice made by a customer to replace the purchase of some items …