We further propose an anti-association rule mining algorithm to generate the constraints.
After using a sequence mining algorithm to generate word sequence patterns, we asked the annotators to decide whether a word sequence displayed a polarity shifting pattern.
In general, all itemset mining algorithms repeatedly generate relatively small collections of candidate frequent itemsets, count their supports and remove all itemsets that turn out to be infrequent.
However, inter-sequence pattern mining algorithms usually generate a large number of recurrent frequent patterns.
Gissen's first algorithm generated around 30,000 letter combinations.
In this paper, a new algorithm named fuzzy grids based rules mining algorithm (FGBRMA) is proposed to generate fuzzy association rules from a relational database.
The genome-wide GenoMesh literature mining algorithm was developed by sequentially generating a gene-article matrix, a normalized gene-MeSH term matrix, and a gene-gene matrix.
The pseudo-code for traditional association rule mining algorithm for frequent itemset generation is as follows: Further association rules are generated from the frequent itemsets and strong rules based on interestingness measures are taken for the analysis.
A detailed description of all HTS protocols, the primary data generated, mining algorithms for processing hits, and the library descriptions can be found as Microsoft Excel worksheets (Microsoft Office 2011, Microsoft Corporation, Redman, WA) in Additional file 6: File S1, Additional file 7: File S2, Additional file 8: File S3, Additional file 9: File S4 and Additional file 10: File S5.
The user must first generate visualization data with a preferred data mining algorithm and then upload the resulting data into the visualization package for graphic visualization of molecular interactions.
