作者: instructive 時間: 2025-3-21 21:38
Artificial Intelligence-Based Cost Reduction for Customer Retention Management in the Indian Life Ito a major cost head for life insurers. In this paper, the authors present an advanced analytic solution to effectively manage customer retention costs and improve the overall persistency. The paper demonstrates the use of several machine learning and deep learning neural network-based models to cla作者: Commentary 時間: 2025-3-22 04:04
Mitigating Agricultural Lending Risk: An Advanced Analytical Approach,atures and gives a better prediction of a farmer going to default than the one built on features currently captured by banks. These additional variables give necessary insights into farmer characteristics that could (1) help banks identify low-risk farmers and expand their lending and (2) help the g作者: Condyle 時間: 2025-3-22 05:09
Application of Association Rule Mining in a Clothing Retail Store,d in Indore, Madhya Pradesh, from the period November 26, 2017, to September 19, 2018, with the help of Point of Sale (POS) and bar code scanner. “Try Us” is a small retail store with multiple brands and is planning to upgrade store to a multilevel store. Data mining would benefit the overall store 作者: 分開如此和諧 時間: 2025-3-22 09:17 作者: 繁殖 時間: 2025-3-22 13:22
Food Index Forecasting,lished by United States Department of Labor for the period January 2010 till May 2018. Different univariate and multivariate time series modeling approaches were used to model the price data, and best-fitted model was chosen for each of the individual categories.作者: 表被動 時間: 2025-3-22 18:40 作者: cognizant 時間: 2025-3-22 22:29 作者: Increment 時間: 2025-3-23 04:45 作者: 誤傳 時間: 2025-3-23 08:59
OTC Energy and Related Derivative Markets,rocesses of such applications. Due to the intense complexity of inherent structure of AI algorithm, usually researchers define the artificial neural network as “black box” whereas the traditional statistical learning models are more transparent, interpretable and explainable with respect to data and作者: 通情達(dá)理 時間: 2025-3-23 13:27 作者: Malfunction 時間: 2025-3-23 16:10
https://doi.org/10.1057/9781403946041atures and gives a better prediction of a farmer going to default than the one built on features currently captured by banks. These additional variables give necessary insights into farmer characteristics that could (1) help banks identify low-risk farmers and expand their lending and (2) help the g作者: condemn 時間: 2025-3-23 19:01
Finance and Capital Markets Seriesd in Indore, Madhya Pradesh, from the period November 26, 2017, to September 19, 2018, with the help of Point of Sale (POS) and bar code scanner. “Try Us” is a small retail store with multiple brands and is planning to upgrade store to a multilevel store. Data mining would benefit the overall store 作者: META 時間: 2025-3-23 23:10 作者: 惹人反感 時間: 2025-3-24 03:01 作者: 極大的痛苦 時間: 2025-3-24 09:17 作者: ENDOW 時間: 2025-3-24 13:23
Energy Recovery Processes from Wastesnce, while in the other method, points get importance based on proximity. The algorithms apply same principle on each of the new observations which get their neighbourhoods in different parts of the data; thus, weights vary. The new ensemble methods are tried on different datasets from different fie作者: 徹底明白 時間: 2025-3-24 15:11 作者: 寬容 時間: 2025-3-24 22:27
Conference proceedings 2021a mining in the retail context. In the fifth part, the book presents some applications of analytics to operations management. This part has chapters related to improvement of furnace operations, forecasting food indices and analytics for improving student learning outcomes. The sixth part has contri作者: callous 時間: 2025-3-24 23:25 作者: SENT 時間: 2025-3-25 04:28 作者: sterilization 時間: 2025-3-25 11:08
Springer Proceedings in Business and Economicshttp://image.papertrans.cn/a/image/159618.jpg作者: 極大痛苦 時間: 2025-3-25 14:50
OTC Energy and Related Derivative Markets,ed to predict loan default, discontinuance of insurance policies, customer attrition, fraud detection, etc. Because of its huge importance, a number of methods have been developed to solve this problem. In this article, we discuss the well-known logistic regression predictor and compare its performa作者: conceal 時間: 2025-3-25 17:22 作者: dandruff 時間: 2025-3-25 21:17
OTC Energy and Related Derivative Markets,ents of research areas and industrial applications. Most of the artificial intelligence researchers are now focused to build smart and user-friendly applications which can assist humans to make the appropriate decision in the business. The aim to build these applications is mainly to reduce the huma作者: 合唱團(tuán) 時間: 2025-3-26 00:33
OTC Energy and Related Derivative Markets,l network architecture, to learn embeddings, which is a way to capture notion of similarity. We will introduce the concept of embeddings with respect to similarity and show how we try to achieve required embeddings with various loss functions. We demonstrate various model architectures based on avai作者: Ringworm 時間: 2025-3-26 04:44 作者: ostensible 時間: 2025-3-26 09:52 作者: elastic 時間: 2025-3-26 12:49 作者: 無價值 時間: 2025-3-26 19:43 作者: 裂口 時間: 2025-3-26 21:49 作者: FID 時間: 2025-3-27 04:04 作者: deforestation 時間: 2025-3-27 08:22
https://doi.org/10.1007/978-3-642-15491-1ducational data mining and learning analytics is in its nascent stage. Applying analytics in education is the need of the hour, especially in the context of a developing economy like India. It is time for educational institutions to use machine learning tools to enhance teaching–learning experience.作者: hair-bulb 時間: 2025-3-27 12:05 作者: 顯微鏡 時間: 2025-3-27 17:06 作者: famine 時間: 2025-3-27 18:27 作者: 代理人 時間: 2025-3-28 01:15
Mardiana Idayu Ahmad,Saffa Riffatel data model is positioned to estimate this interface at three levels, (1) for upper middle-income countries (UMICs), (2) for lower middle-income countries (LMICs), and (3) for total middle-income countries (MICs), combined UMICs and LMICs. Each level has six different cases, depending upon the use作者: 現(xiàn)存 時間: 2025-3-28 03:50 作者: 宏偉 時間: 2025-3-28 06:39
Value At Risk and Stress Testing,This chapter gives a brief overview of machine learning for streaming data by establishing the need for special algorithms suited for prediction tasks for data streams, why conventional batch learning methods are not adequate, followed by applications in various business domains.作者: Sad570 時間: 2025-3-28 11:06
Mardiana Idayu Ahmad,Saffa RiffatUser response prediction is the bread and butter of an ecommerce site. Every ecommerce site which is popular is running a response prediction engine behind the scenes to improve user engagement and to minimize the number of hops or queries that a user must fire in order to reach the destination item page which best matches the user’s query.作者: Climate 時間: 2025-3-28 16:55 作者: 幻想 時間: 2025-3-28 21:20
Response Prediction and Ranking Models for Large-Scale Ecommerce Search,User response prediction is the bread and butter of an ecommerce site. Every ecommerce site which is popular is running a response prediction engine behind the scenes to improve user engagement and to minimize the number of hops or queries that a user must fire in order to reach the destination item page which best matches the user’s query.作者: Carminative 時間: 2025-3-29 02:51
Applied Advanced Analytics978-981-33-6656-5Series ISSN 2198-7246 Series E-ISSN 2198-7254 作者: Blanch 時間: 2025-3-29 05:01
https://doi.org/10.1007/978-981-33-6656-5Data Streams; Binary Prediction; Shock Models on Reliability; Artificial Intelligence Applications; Cred作者: spinal-stenosis 時間: 2025-3-29 08:54
978-981-33-6658-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: Noisome 時間: 2025-3-29 15:25 作者: 生存環(huán)境 時間: 2025-3-29 16:43
Value At Risk and Stress Testing,ndian market, the word credit did not go along with the Indian mentality, believing that credit cards would increase their liability and might lead to payment of huge interests, if not cleared on time.作者: conception 時間: 2025-3-29 20:15
J. W. Day,Rachael G. Hunter,H. C. Clarkd in the sense of stochastic, reversed hazard rate, hazard rate, and likelihood ratio orderings. The consequences of the changes in the scale parameters or the shape parameters on the magnitude of the smallest and largest order statistics are also investigated in the sense of the above-mentioned orderings.作者: SCORE 時間: 2025-3-30 01:12 作者: neutrophils 時間: 2025-3-30 04:56
Stochastic Comparisons of Systems with Heterogeneous Log-Logistic Components,d in the sense of stochastic, reversed hazard rate, hazard rate, and likelihood ratio orderings. The consequences of the changes in the scale parameters or the shape parameters on the magnitude of the smallest and largest order statistics are also investigated in the sense of the above-mentioned orderings.作者: gene-therapy 時間: 2025-3-30 09:35 作者: acrophobia 時間: 2025-3-30 14:44 作者: 身體萌芽 時間: 2025-3-30 17:31
Conference proceedings 2021 selected presentations at the 6.th.?IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence. The book is conceptually divided in seven parts. The first part gives expository briefs on some topics of current academic and practitioner interests, such as data strea作者: larder 時間: 2025-3-30 22:44 作者: 華而不實 時間: 2025-3-31 02:09 作者: 寡頭政治 時間: 2025-3-31 07:40
OTC Energy and Related Derivative Markets,bserved to perform better than the logistic regression predictor for both these unbalanced datasets, indicating that the maximum score predictor can be a useful addition to the analysts toolkit when dealing with the binary prediction problem.作者: Little 時間: 2025-3-31 12:21 作者: 姑姑在炫耀 時間: 2025-3-31 16:47
J. W. Day,Rachael G. Hunter,H. C. Clarkwork, we develop a multi-treatment response-adaptive randomization for circular treatment outcomes considering both the ethics and efficiency requirements. Apart from assessing the proposed allocation design empirically, the applicability of the design in real clinical trials is also enumerated from a practitioner’s viewpoint.作者: HIKE 時間: 2025-3-31 19:41 作者: 蝕刻 時間: 2025-3-31 22:22
Reliability Shock Models: A Brief Excursion,eneous Poisson process, nonhomogeneous Poisson process, stationary and nonstationary pure birth processes are considered. A few interesting results related to cumulative damage models are also discussed.作者: molest 時間: 2025-4-1 04:23 作者: pantomime 時間: 2025-4-1 09:02
Binary Prediction,ed to predict loan default, discontinuance of insurance policies, customer attrition, fraud detection, etc. Because of its huge importance, a number of methods have been developed to solve this problem. In this article, we discuss the well-known logistic regression predictor and compare its performa
