Association mining
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Part 2 of ebook "Principles of data mining (Third edition)" provides readers with contents including: Chapter 17 - Association rule mining II; Chapter 18 - Association rule mining III, frequent pattern trees; Chapter 19 - Clustering; Chapter 20 - Text mining; Chapter 21 - Classifying streaming data; Chapter 22 - Classifying streaming data II, time-dependent data;...
267p daonhiennhien 03-07-2024 1 1 Download
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As biomarkers, microRNAs (miRNAs) are closely associated with the occurrence, progression, and prognosis of non-small cell lung cancer (NSCLC). However, the prognostic predictive value of miRNAs in NSCLC has rarely been explored. In this study, the value in prognosis prediction of NSCLC was mined based on data mining models using clinical data and plasma miRNAs biomarkers.
10p vikoch 27-06-2024 1 1 Download
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Associative Classification is an interesting approach in data mining to create more accurate and easily interpretable predictive systems. This approach is often built on both association rule mining and classification techniques, to find a set of rules called association rules for classification (CAR) of label attributes.
7p viohoyo 25-04-2024 2 2 Download
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The paper discusses how the traditional method of association rule mining based on user-defi ned minimum support and confi dence can result in either too many or too few association rules. This could lead to valuable information being missed or redundant rules being generated, which is not practical and can be costly to implement.
7p vijaychest 24-04-2024 3 2 Download
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Smith-Magenis syndrome (SMS) is a developmental disability/multiple congenital anomaly disorder resulting from haploinsufficiency of RAI1. It is characterized by distinctive facial features, brachydactyly, sleep disturbances, and stereotypic behaviors.
15p vioraclene 31-03-2024 4 2 Download
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Ebook "Genomics of plant genetic resources - Volume 1: Managing, sequencing and mining genetic resources" collects 48 highly interdisciplinary articles describing how genomics improves our capacity to characterize and harness natural and artificially induced variation in order to boost crop productivity and provide consumers with high-quality food. This book will be an invaluable reference for all those interested in managing, mining and harnessing the genetic richness of plant genetic resources.
711p manmanthanhla0201 26-02-2024 4 1 Download
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The study aimed to help get insights about the causes of road accidents, and to provide knowledge of road accidents for road safety using Association Rule Mining with the application of the Apriori Algorithm. Association rule mining using the Apriori Algorithm produces significant patterns and insights that help identify the causes of road accidents.
9p vigojek 02-02-2024 8 2 Download
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Ebook "Big data in omics and imaging: Association analysis" addresses the recent development of association analysis and machine learning for both population and family genomic data in sequencing era. It is unique in that it presents both hypothesis testing and a data mining approach to holistically dissecting the genetic structure of complex traits and to designing efficient strategies for precision medicine.
701p lamquandat 28-12-2023 2 2 Download
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Ebook "Data mining - Introductory and advanced topics" includes content: Introduction, related concepts, data mining techniques, classification, clustering, association rules, web mining, temporal mining, spatial mining.
156p haojiubujain07 20-09-2023 9 4 Download
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Ebook "Data mining concepts and techniques" includes content: Introduction, data warehouse and OLAP technology for data mining, data preprocessing, primitives for data mining, concept description - characterization and comparison, mining association rules in large databases, classi cation and prediction,...and other contents.
314p haojiubujain07 20-09-2023 6 3 Download
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Rucaparib has been approved for the maintenance treatment of adult patients with recurrent epithelial ovarian, fallopian tube, or primary peritoneal cancer. However, the long-term safety of rucaparib in large sample population was unknown. The presented study aimed to evaluate rucaparib-associated adverse events (AEs) according to the real-world pharmacovigilance database.
13p vioracle 29-09-2023 10 3 Download
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Bài giảng Khai phá dữ liệu (Data mining): Association rule, chương này trình bày những nội dung về: giới thiệu luật kết hợp; các ứng dụng; định nghĩa và mô hình hóa bài toán; thuật toán Apriori; bài tập;... Mời các bạn cùng tham khảo chi tiết nội dung bài giảng!
76p diepkhinhchau 18-09-2023 12 7 Download
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Chapter 20 - Data analysis. Data analysis and data mining are a subset of business intelligence, which also incorporates data warehousing, database management systems, and online analytical processing. In this chapter introduce data analysis with the following contents: Decision support systems, data warehousing, data mining, classification, association rules, clustering.
38p haojiubujain04 27-07-2023 5 4 Download
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Ebook Literary study: Part 1 includes contents: Transformative learning - mine and theirs; Making the case for discipline-based assessment; Where has assessment been in the modern language association? A disciplinary perspective; Measuring the humanities: the slippery slope from assessment to standardization; The pygmies in the cage: the function of the sublime in longinus; Approaching the ineffable: flow, sublimity, and student learning; Fearful symmetries: rubrics and assessment; Posthumanist measures: elephants, assessment, and the return of creativity; Assessment in literary education.
171p haojiubujain01 03-07-2023 7 2 Download
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The goal of this investigation was to determine whether automated approaches can learn patientoriented care teams via utilization of an electronic medical record (EMR) system. To perform this investigation, we designed a data-mining framework that relies on a combination of latent topic modeling and network analysis to infer patterns of collaborative teams.
10p visteverogers 24-06-2023 6 2 Download
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This paper introduces a high-throughput unsupervised feature selection method, which improves the robustness and scalability of electronic medical record phenotyping without compromising its accuracy.
7p visteverogers 24-06-2023 7 2 Download
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Build probabilistic topic model representations of hospital admissions processes and compare the ability of such models to predict clinical order patterns as compared to preconstructed order sets.
9p visteverogers 24-06-2023 6 2 Download
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Quality assurance of large ontological systems such as SNOMED CT is an indispensable part of the terminology management lifecycle. We introduce a hybrid structural-lexical method for scalable and systematic discovery of missing hierarchical relations and concepts in SNOMED CT.
11p visteverogers 24-06-2023 9 2 Download
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To demonstrate a data-driven method for personalizing lung cancer risk prediction using a large clinical dataset. Using available clinical datasets such as the National Lung Screening Trial in conjunction with locally collected datasets can help clinicians provide more personalized malignancy risk predictions and followup recommendations.
6p visteverogers 24-06-2023 3 2 Download
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As the US Food and Drug Administration (FDA) receives over a million adverse event reports associated with medication use every year, a system is needed to aid FDA safety evaluators in identifying reports most likely to demonstrate causal relationships to the suspect medications. We combined text mining with machine learning to construct and evaluate such a system to identify medication-related adverse event reports.
8p visteverogers 24-06-2023 4 3 Download