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Customer Segment Prediction on Retail Transactional Data Using K-Means and Markov Model
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作者 A.S.Harish C.Malathy 《Intelligent Automation & Soft Computing》 SCIE 2023年第4期589-600,共12页
Retailing is a dynamic business domain where commodities and goods are sold in small quantities directly to the customers.It deals with the end user customers of a supply-chain network and therefore has to accommodate... Retailing is a dynamic business domain where commodities and goods are sold in small quantities directly to the customers.It deals with the end user customers of a supply-chain network and therefore has to accommodate the needs and desires of a large group of customers over varied utilities.The volume and volatility of the business makes it one of the prospectivefields for analytical study and data modeling.This is also why customer segmentation drives a key role in multiple retail business decisions such as marketing budgeting,customer targeting,customized offers,value proposition etc.The segmentation could be on various aspects such as demographics,historic behavior or preferences based on the use cases.In this paper,historic retail transactional data is used to segment the custo-mers using K-Means clustering and the results are utilized to arrive at a transition matrix which is used to predict the cluster movements over the time period using Markov Model algorithm.This helps in calculating the futuristic value a segment or a customer brings to the business.Strategic marketing designs and budgeting can be implemented using these results.The study is specifically useful for large scale marketing in domains such as e-commerce,insurance or retailers to segment,profile and measure the customer lifecycle value over a short period of time. 展开更多
关键词 K-MEANS retail analytics clustering cluster prediction Markov chain transition matrix RFM model customer segmentation segment prediction Markov model segment proling
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Advances in genomic study of cortical projection neurons
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作者 Chunsheng QU Jieguang CHEN 《Frontiers in Biology》 CSCD 2010年第6期524-531,共8页
The mammalian neocortex gives rise to perception and initiates voluntary motor responses.The cortical laminae are comprised of six distinct cellular layers of local circuit neurons and projection neurons.To explore mo... The mammalian neocortex gives rise to perception and initiates voluntary motor responses.The cortical laminae are comprised of six distinct cellular layers of local circuit neurons and projection neurons.To explore molecular identities of the distinct cortical projection neurons,discovery-orientated genomic approaches have been adopted.Microarray analysis of dissected cortical tissues has been applied to identify cortical layer markers.Early neuronal cells were sorted by FACS from GFP-labeled embryonic brains for gene expression profiling.Laser capture microdissection of retrograde-labeled pro-jection neurons,when coupled with optimal RNA amplification technology,has become a valuable strategy for neuronal isolation and gene expression analysis in differentiated neurons.RNA sequencing technology is promising not only for the determination of gene expression,but also for discovery of posttranscriptional modifications of the complex neural system.There is no doubt that advances in genomic studies are opening up novel research avenues for our understanding of the cortical neuronal functions. 展开更多
关键词 expression proling pyramidal neurons RNA amplication CORTEX retrograde labeling
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区域健康画像和健康评估应用研究
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作者 孔斌 杨秋芬 李丽 《中国卫生信息管理杂志》 2024年第4期565-570,共6页
目的 构建完善的健康画像和健康评估体系,提升卫生健康服务与管理水平。方法 采用大数据挖掘技术挖掘健康数据价值,结合机器学习、聚类分析和趋势回归预测模型预测健康风险,构建健康画像体系与健康管理行为模型。结果 在疾病预测与预防... 目的 构建完善的健康画像和健康评估体系,提升卫生健康服务与管理水平。方法 采用大数据挖掘技术挖掘健康数据价值,结合机器学习、聚类分析和趋势回归预测模型预测健康风险,构建健康画像体系与健康管理行为模型。结果 在疾病预测与预防、诊断与治疗及健康监测与管理领域,健康画像与健康评估体系取得了显著成效,该体系在慢性病筛查与监测、双向转诊转检平台健康画像集成以及签约居民个性化干预等方面也发挥了重要作用。结论 基于大数据与人工智能技术的健康画像与健康评估体系,为紧密型医联体的建设提供了坚实的技术支撑与数据保障,有效促进了医疗服务的整合与协同,提高了居民的健康水平和生活质量。 展开更多
关键词 健康画像 健康评估 紧密型医联体
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