Stock Sequence Pattern Mining Method Based on SWI-GSP Algorithm

Liu, Huachun; Du, Hua

doi:10.1145/3089871.3089875

Cited by 2 publications

(1 citation statement)

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“…Sequence rule mining, sequence pattern mining [29][30][31][32][33] or association rule mining [34,35] are the most commonly used temporal models in literature for finding temporal relationships among sequences. SRM has diverse pattern mining applications in finance and market analysis [36,37], travel analysis [38], mobile learning [39] and database projections. (PrefixSpan [40], MEMISP [41]).…”

Section: Deriving Frequent Cod Patterns From Death Certificatesmentioning

confidence: 99%

Improving Validity of Cause of Death on Death Certificates

Hoffman

Venugopalan

et al. 2018

Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics

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Accurate reporting of causes of death on death certificates is essential to formulate appropriate disease control, prevention and emergency response by national health-protection institutions such as Center for disease prevention and control (CDC). In this study, we utilize knowledge from publicly available expert-formulated rules for the cause of death to determine the extent of discordance in the death certificates in national mortality data with the expert knowledge base. We also report the most commonly occurring invalid causal pairs which physicians put in the death certificates. We use sequence rule mining to find patterns that are most frequent on death certificates and compare them with the rules from the expert knowledge based. Based on our results, 20.1% of the common patterns derived from entries into death certificates were discordant. The most probable causes of these discordance or invalid rules are missing steps and non-specific ICD-10 codes on the death certificates. Revision (ICD-10) which contains 22 chapters covering 2,046 categories of diseases [3, 4]. Despite the pressing need for high quality cause of death information, challenges such as lack of adequate knowledge and practice still exist for the accurate filling of death certificates. These challenges lead to death certificates of uncertain quality. Studies have

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