A Novel Approach for Enhancing Direct Hashing and Pruning for Association Rule MiningData Mining has been considered as a promising field in the intersection of databases, artificial intelligence and machine learning. Association rule mining has been one of the most popular data mining subjects, which can be ...
FP-growth algorithm [9] uses prefix-tree structure to mine frequent itemsets without generating candidates and scans the database only twice. Many of them are based on Apriori algorithm. Park et al. [13] proposes DHP algorithm using direct hashing and pruning. Holt and Chung [10] proposes ...
Optimization Technique 1: Sorting, hashing, and grouping. Sorting, hashing, and grouping operations should be applied to the dimension attributes to reorder and cluster related tuples. In cube computation, aggregation is performed on the tuples (or cells) that share the same set of dimension valu...
direct hashing and pruningmalicious codesupport vector machineAlthough open application programming interfaces (APIs) have been improved by advancements in the software industry, diverse types of malicious code have also increased. Thus, many studies have been conducted to characterize the behavior of ...
Discusses algorithms for finding association-rules in large-scale data mining systems. Quality of output and total running time for large-scale data mining algorithms; Improvement on the locality-sensitive hashing schemes; Algorithmic efficiency in the absence of the support requirement.Cohen...
Duplicate checking via primary keys, important fields, hashing, automated tools, and ML. Duplicate detection tools, ML for handling duplicates. Reliability Reflects the stability and consistency of data over time and across sources. Stability checks, consistency tests, statistical tools, and automated ...
In addition to standard speedup techniques, such as don't look bits, ILK-H uses hashing techniques (originally described by Lin and Kernighan [1973]) to efficiently check whether a solution has been earlier found to be a local optimum. Further details of ILK-H can also be directly checked ...
The second experiment conducted used fuzzy hashing techniques to separate content elements i.e. images, HTML codes and scripts. Matching threshold plays an effective role in detecting phishing websites. When the threshold is set to 0.2, the prediction accuracy was 82% but if the threshold is ...
(2015); Hashing methods and binary encoding. Histopathological image retrieval. Li et al. (2018) Classification Lung cancer PG ChebNet + Attention WSI; Self-Supervised; Supervised; TCGA-LUSC Tomczak et al. (2015) (2 classes), NLST Kramer et al. (2011) (2 classes); Survival prediction. Wu...
The signature sequence W to be embedded into C may be obtained as a pseudo-random binary sequence using the prescribed RSG triggered by the key K (which in turn is derived from hashing the original image). The coefficients obtained after embedding, viz., S, then undergo the inverse key-...