標(biāo)題: Titlebook: Data Management and Analysis; Case Studies in Educ Reda Alhajj,Mohammad Moshirpour,Behrouz Far Book 2020 Springer Nature Switzerland AG 202 [打印本頁] 作者: 選民 時間: 2025-3-21 19:00
書目名稱Data Management and Analysis影響因子(影響力)
書目名稱Data Management and Analysis影響因子(影響力)學(xué)科排名
書目名稱Data Management and Analysis網(wǎng)絡(luò)公開度
書目名稱Data Management and Analysis網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Management and Analysis被引頻次
書目名稱Data Management and Analysis被引頻次學(xué)科排名
書目名稱Data Management and Analysis年度引用
書目名稱Data Management and Analysis年度引用學(xué)科排名
書目名稱Data Management and Analysis讀者反饋
書目名稱Data Management and Analysis讀者反饋學(xué)科排名
作者: 抱負 時間: 2025-3-21 23:50
D. J. Lim,Y. Hanamure,Y. Ohashiosis. To test the efficiency of some of the developed techniques, we obtained the code for four different approaches and did a performance analysis using four public datasets. We investigated the results along with the analysis time. The outcomes of the study are 作者: 顯赫的人 時間: 2025-3-22 03:03 作者: 胰臟 時間: 2025-3-22 05:42
Approaches for Early Detection of Glaucoma Using Retinal Images: A Performance Analysis,osis. To test the efficiency of some of the developed techniques, we obtained the code for four different approaches and did a performance analysis using four public datasets. We investigated the results along with the analysis time. The outcomes of the study are 作者: fringe 時間: 2025-3-22 11:40 作者: 使迷惑 時間: 2025-3-22 13:42 作者: 使迷惑 時間: 2025-3-22 20:38 作者: 舊式步槍 時間: 2025-3-22 22:16 作者: 課程 時間: 2025-3-23 04:51 作者: Tartar 時間: 2025-3-23 06:24
2197-6503 nalysis.Includes healthcare examples ranging from ophthalmolData management and analysis is one of the fastest growing and most challenging areas of research and development in both academia and industry. Numerous types of applications and services have been studied and re-examined in this field res作者: miscreant 時間: 2025-3-23 11:22
Leveraging Protection and Efficiency of Query Answering in Heterogenous RDF Data Using Blockchain,dingly, big data management has emerged for storing, managing, and extracting valuable knowledge from collected data. Due to the explosion of the amount of data, developing tools for accurate and timely integration of inherently heterogeneous data has become a critical need. In the first part of thi作者: 粘土 時間: 2025-3-23 15:38 作者: Bone-Scan 時間: 2025-3-23 21:27 作者: debacle 時間: 2025-3-23 23:18 作者: 碌碌之人 時間: 2025-3-24 02:40 作者: 外來 時間: 2025-3-24 08:57
Prediction Model for Prevalence of Type-2 Diabetes Mellitus Complications Using Machine Learning Apvities. Diabetes is one of the most common chronic diseases being suffered by the people of all ages. As a result, the healthcare sector is generating extensive data containing huge volume, enormous velocity, and a vast variety of heterogeneous sources. In such scenario, scientific solutions offer t作者: brassy 時間: 2025-3-24 10:46
Face Reconstruction from Profile to Frontal Evaluation of Face Recognition, Recognizing faces in profile view has been shown to perform poorly compared to using frontal view of faces. Indeed, previous approaches failed to capture distinct features of a profile face compared to a frontal one. Approaches to enhance face recognition on profile faces have been recently propose作者: 否認 時間: 2025-3-24 18:51
A Data Management Scheme for Micro-Level Modular Computation-Intensive Programs in Big Data Platforrtant insights from a huge amount of heterogeneous data (e.g., image, text, and sensor data). These systems offer a wide range of tools and connect them to form workflows for processing Big Data. Independent schemes from different studies for managing programs and data of workflows have been already作者: 激怒某人 時間: 2025-3-24 20:07 作者: 表皮 時間: 2025-3-25 02:30 作者: Badger 時間: 2025-3-25 03:35 作者: 流利圓滑 時間: 2025-3-25 07:36 作者: 有權(quán) 時間: 2025-3-25 12:49
Binary Thermal Exchange Optimization for Feature Selection,NP-hard optimization problem. Therefore, metaheuristics algorithms proved their ability to tackle this problem as in other optimization problems. The Thermal Exchange Optimization (TEO) is a recent population-based metaheuristic algorithm that is based on Newton’s law of cooling. In this paper, a bi作者: 我沒有命令 時間: 2025-3-25 18:35 作者: 猛然一拉 時間: 2025-3-25 20:41 作者: archaeology 時間: 2025-3-26 00:22 作者: reject 時間: 2025-3-26 05:05
Josef M. Miller,Francis A. Spelmanors and architects of the online teaching and learning management systems and tools..The focus of this paper is twofold: (1) provide a set of informative recommendations that help educators to use many years of available recorded data on large-scale courses to improve their teaching methods; (2) rev作者: 突變 時間: 2025-3-26 11:46
https://doi.org/10.1007/978-1-4419-6117-4t-Learn, Pandas for Python, and R-Studio for R. In this work, machine learning approaches such as decision tree, random forest for developing classification system-based prediction model to assess type-2 diabetes mellitus chronic diseases have been studied. Additionally, we have proposed an algorith作者: Watemelon 時間: 2025-3-26 15:56 作者: bronchodilator 時間: 2025-3-26 20:40 作者: Suggestions 時間: 2025-3-26 22:53
https://doi.org/10.1007/978-1-4419-6117-4ifies all paths of varying lengths in a graph and stores those paths in the form of a . (MBVT). This MBVT results in faster computation of shortest path from source vertex to target vertex with the use of .. Additionally, our proposed algorithm with vertical data structures is more suitable in distr作者: glamor 時間: 2025-3-27 05:07
https://doi.org/10.1007/978-1-4419-6117-4tandard, we propose a programming model for automated workflow logging. The programming model is easy to implement and easily configurable by domain experts independent of workflow users. We implement our workflow programming model on Bioinformatics research—for evaluation and collect workflow logs 作者: CHARM 時間: 2025-3-27 08:28
https://doi.org/10.1007/978-3-319-14535-8ired algorithms (i.e., Genetic Algorithm (GA), Particle Swarm Optimizer (PSO), and Grey Wolf Optimizer (GWO)) as search strategies, were used for comparison purposes, and the results demonstrate the effectiveness of the proposed approach in solving different feature selection tasks.作者: 邊緣 時間: 2025-3-27 11:23
Leveraging Protection and Efficiency of Query Answering in Heterogenous RDF Data Using Blockchain,ties. The proposed view layer architecture between heterogeneous data sources and user interface layer using distributed Hyperledger can ensure only authorized users have access to the data sources in order to protect the system against unauthorized violation and determine the degree of users’ permi作者: 廢墟 時間: 2025-3-27 15:04
Big Data Analytics of Twitter Data and Its Application for Physician Assistants: Who Is Talking Abor, we design a system to allow non-computer experts to extract interesting information from the social network (especially, Twitter) data. To demonstrate the practicality of the system, we also conduct a case study to demonstrate how the system helps physician assistants (PAs) to find interesting pa作者: 里程碑 時間: 2025-3-27 20:16
Homogeneous Vs. Heterogeneous Distributed Data Clustering: A Taxonomy,eir distributed modeling strategies. The taxonomy classifies the distributed clustering processes as either a homogeneous or heterogeneous process. Various distributed performance and quality measures are also addressed.作者: Pigeon 時間: 2025-3-28 00:27 作者: conjunctivitis 時間: 2025-3-28 05:52
Prediction Model for Prevalence of Type-2 Diabetes Mellitus Complications Using Machine Learning Apt-Learn, Pandas for Python, and R-Studio for R. In this work, machine learning approaches such as decision tree, random forest for developing classification system-based prediction model to assess type-2 diabetes mellitus chronic diseases have been studied. Additionally, we have proposed an algorith作者: Omniscient 時間: 2025-3-28 06:51 作者: Repetitions 時間: 2025-3-28 13:05 作者: 系列 時間: 2025-3-28 17:08 作者: 粘連 時間: 2025-3-28 20:48 作者: biopsy 時間: 2025-3-29 01:47
Binary Thermal Exchange Optimization for Feature Selection,ired algorithms (i.e., Genetic Algorithm (GA), Particle Swarm Optimizer (PSO), and Grey Wolf Optimizer (GWO)) as search strategies, were used for comparison purposes, and the results demonstrate the effectiveness of the proposed approach in solving different feature selection tasks.作者: Hla461 時間: 2025-3-29 04:54
Levent Sennaroglu,Münir Demir Bajindingly, big data management has emerged for storing, managing, and extracting valuable knowledge from collected data. Due to the explosion of the amount of data, developing tools for accurate and timely integration of inherently heterogeneous data has become a critical need. In the first part of thi作者: ostensible 時間: 2025-3-29 09:12 作者: 濃縮 時間: 2025-3-29 15:12
Francis A. Spelman,Josef M. Millerinto smaller partitions, tackling each one in parallel, and then combining the partial solutions, the parallel algorithms can cluster large amounts of data much more efficiently. In specific scenarios, the dataset is inherently distributed over multiple nodes, making it impossible and even infeasibl作者: MAUVE 時間: 2025-3-29 16:45
Selective Stimulation of Peripheral Axonsne learning method. The dynamic arrival and due date orders in SC were divided into three types according to the profit that the SC can obtain. Two echelons of the SC, in which a supplier that cooperate with other firms in SC will receive orders in and out of the SC, are employed in this study. Capt作者: 廢止 時間: 2025-3-29 19:53 作者: Minatory 時間: 2025-3-30 02:58 作者: 填料 時間: 2025-3-30 07:36
https://doi.org/10.1007/978-1-4419-6117-4 Recognizing faces in profile view has been shown to perform poorly compared to using frontal view of faces. Indeed, previous approaches failed to capture distinct features of a profile face compared to a frontal one. Approaches to enhance face recognition on profile faces have been recently propose作者: SPURN 時間: 2025-3-30 12:01
