標(biāo)題: Titlebook: Recent Developments in Machine Learning and Data Analytics; IC3 2018 Jugal Kalita,Valentina Emilia Balas,Ratika Pradhan Conference proceedi [打印本頁] 作者: Filament 時(shí)間: 2025-3-21 18:05
書目名稱Recent Developments in Machine Learning and Data Analytics影響因子(影響力)
書目名稱Recent Developments in Machine Learning and Data Analytics影響因子(影響力)學(xué)科排名
書目名稱Recent Developments in Machine Learning and Data Analytics網(wǎng)絡(luò)公開度
書目名稱Recent Developments in Machine Learning and Data Analytics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Recent Developments in Machine Learning and Data Analytics被引頻次
書目名稱Recent Developments in Machine Learning and Data Analytics被引頻次學(xué)科排名
書目名稱Recent Developments in Machine Learning and Data Analytics年度引用
書目名稱Recent Developments in Machine Learning and Data Analytics年度引用學(xué)科排名
書目名稱Recent Developments in Machine Learning and Data Analytics讀者反饋
書目名稱Recent Developments in Machine Learning and Data Analytics讀者反饋學(xué)科排名
作者: capsaicin 時(shí)間: 2025-3-21 20:20 作者: 清醒 時(shí)間: 2025-3-22 01:22
Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/r/image/823183.jpg作者: 逃避現(xiàn)實(shí) 時(shí)間: 2025-3-22 04:34
https://doi.org/10.1007/978-981-13-1280-9Data Analytics; Adapted Learning; Conference Proceedings; Intelligent Systems; Soft Computing; Machine Le作者: 跳動 時(shí)間: 2025-3-22 10:29 作者: Critical 時(shí)間: 2025-3-22 13:01 作者: originality 時(shí)間: 2025-3-22 21:05 作者: Anticoagulant 時(shí)間: 2025-3-22 22:31 作者: Infantry 時(shí)間: 2025-3-23 02:01
Ambika Choudhury,Deepak Gupta(Nedelmann, 1991, my translation). To say that friendship is underrepresented in sociology is to acknowledge that there . work on the topic. This book, after all, draws liberally on existing research, old and new. It is, however, still relatively marginal in the discipline, especially concerning fri作者: Aggressive 時(shí)間: 2025-3-23 08:00
Santosh Kumar Majhiers when it seems to them that we are being greedy. However, as adults we are sometimes chided for allegedly not seeing that in some contexts greed actually can be good. We may think that the greed of some is responsible for the impoverishment of others. However, some argue that, suitably constraine作者: arbovirus 時(shí)間: 2025-3-23 12:36
Roland Askew,Sreenivas Sremath Tirumala,G. Anjan Babuerested ends).? It offers little clarification ofwhat sorts of constraints on greed are needed. Nor is careful attention given to difficulties children might have in making a transition without moral loss from regarding greed as inappropriate to its later qualified acceptance. Through a secular appr作者: Cocker 時(shí)間: 2025-3-23 15:07 作者: corpuscle 時(shí)間: 2025-3-23 18:07
Improvement in Boosting Method by Using RUSTBoost Technique for Class Imbalanced Data,rid undersampling algorithm is proposed in which we use redundancy-driven modified Tomek-link based undersampling as resampling technique along with boosting for learning from imbalanced training data. Experiments are performed for various datasets which are related to various application domains. T作者: expunge 時(shí)間: 2025-3-23 23:57 作者: CHOKE 時(shí)間: 2025-3-24 04:40 作者: Grievance 時(shí)間: 2025-3-24 09:42
Implementation of BFS-NB Hybrid Model in Intrusion Detection System,ed using best first search method, and then na?ve Bayes classifier is used to predict the type of attacks. The performance is evaluated using some parameters like accuracy, sensitivity, and time delay. The results indicate that our developed technique gives an optimal performance and may be used as 作者: 退潮 時(shí)間: 2025-3-24 10:53
2194-5357 ed research and findings; and, Data Analytics, which introduces recent developments in this domain. Additionally, the book includes work on data analytics using machine learning techniques...?.978-981-13-1279-3978-981-13-1280-9Series ISSN 2194-5357 Series E-ISSN 2194-5365 作者: 雕鏤 時(shí)間: 2025-3-24 18:06 作者: Nucleate 時(shí)間: 2025-3-24 22:25
Meghna Saikia,Saini Chakraborty,Suranjan Barman,Sarat Kr. Chettri作者: 蝕刻 時(shí)間: 2025-3-25 02:27
Sinjan Chakraborty,Sayantan Paul,Ram Sarkar,Mita Nasipuri作者: 平常 時(shí)間: 2025-3-25 03:56
Indra Narayan Dutta,Neelotpal Chakraborty,Ayatullah Faruk Mollah,Subhadip Basu,Ram Sarkar作者: 沒血色 時(shí)間: 2025-3-25 08:18 作者: 吹牛者 時(shí)間: 2025-3-25 13:06
Sushruta Mishra,Chandrakanta Mahanty,Shreela Dash,Brojo Kishore Mishra作者: Living-Will 時(shí)間: 2025-3-25 15:51
Recent Developments in Machine Learning and Data AnalyticsIC3 2018作者: Cpr951 時(shí)間: 2025-3-25 20:52 作者: maverick 時(shí)間: 2025-3-26 04:13
Ishita Chakraborty,Anannya Chakraborty,Prodipto Dasl and cultural conditions of young people’s lives—to be foregrounded in strategies aimed at addressing this complex youth wellbeing issue.?.This text will be of interest to scholars in gender studies, youth stu978-3-030-70161-1978-3-030-70159-8作者: 機(jī)制 時(shí)間: 2025-3-26 05:32
Pooja P. Talan,Kartik U. Sharma,Pratiksha P. Nawade,Karishma P. Talanion sources.?.In the end, .Everyday Enterprise Architecture. will help you develop the skills, judgment, and awareness to keep enhancing the value of your architectural projects.??.What You‘ll Learn.Work on arc978-1-4842-8903-7978-1-4842-8904-4作者: Interim 時(shí)間: 2025-3-26 10:33
Sonal Jain,Harshita Khangarot,Shivank Singhight have in making a transition without moral loss from regarding greed as inappropriate to its later qualified acceptance. Through a secular appr978-3-030-70089-8978-3-030-70087-4Series ISSN 2211-2707 Series E-ISSN 2211-2723 作者: 散布 時(shí)間: 2025-3-26 13:42
Conference proceedings 2019 and findings from various research labs, universities and institutions that may lead to development of marketable products. It also provides solid support for these findings in the form of empirical studies, theoretical analysis, or comparison to psychological phenomena. Further, it features work t作者: 治愈 時(shí)間: 2025-3-26 19:42
Journal Recommendation System Using Content-Based Filtering,y tedious task for the novice authors. In this paper, Journal Recommendation System (JRS) is proposed, which will solve the problem of publication for many authors. Content-based filtering method is used for this purpose. The dataset used is prepared by the authors and distance algorithm is used for recommendation.作者: 僵硬 時(shí)間: 2025-3-27 00:35
WSD for Assamese Language,nce measure of the overall system has been improved up to 91.11% in terms of .1-measure as compared to 86% of the previously developed system by incorporating the Semantically Related Words (SRW) feature in our feature set.作者: 增長 時(shí)間: 2025-3-27 01:13
Feature Map Reduction in CNN for Handwritten Digit Recognition, them leads to unnecessary wastage of resources. In the present work, we have proposed to reduce the feature maps that are used to train the CNN to reduce storage space and computation time. Experimental results show that the time required to train the CNN decreases with reducing the number of feature maps without notably affecting the accuracy.作者: neoplasm 時(shí)間: 2025-3-27 05:27 作者: crumble 時(shí)間: 2025-3-27 13:02 作者: 碎片 時(shí)間: 2025-3-27 15:14 作者: 壯麗的去 時(shí)間: 2025-3-27 19:15 作者: 步兵 時(shí)間: 2025-3-28 01:22 作者: 腐爛 時(shí)間: 2025-3-28 05:08
How Effective Is the Moth-Flame Optimization in Diabetes Data Classification,taheuristic algorithm named Moth-Flame Optimization for diabetes data classification. The MFO is used to update the weights of the feed foreword neural network. The performance of the proposed algorithm is evaluated by experimenting Wisconsin Hospital dataset. A comparative analysis has been performed with respect to the recently published works.作者: VICT 時(shí)間: 2025-3-28 08:35
Affinity Maturation of Homophones in Word-Level Speech Recognition,word-level recognition, an artificial immune system algorithm is proposed in the earlier part of this research where the recognition rate of a correct homophone word is minimal. In this paper, an affinity maturation technique is proposed to increase the correct recognition rate at the preliminary phase of the artificial immune algorithm.作者: AGOG 時(shí)間: 2025-3-28 11:57
2194-5357 uter science.Includes the most significant work on data-cent.This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes current research and findings from various research labs, universities and institutions that may lead to d作者: 難解 時(shí)間: 2025-3-28 17:04 作者: chalice 時(shí)間: 2025-3-28 22:12 作者: 減少 時(shí)間: 2025-3-28 23:39
An Overview of Hadoop MapReduce, Spark, and Scalable Graph Processing Architecture,re open source framework to process Big Data. Hadoop provides batch processing while Spark supports both batch as well as stream processing, i.e., it is a hybrid processing framework. Both frameworks have their own advantages and drawback. The contribution of this paper is to provide a comparative a作者: Immunotherapy 時(shí)間: 2025-3-29 03:49 作者: 沒血色 時(shí)間: 2025-3-29 09:49
Improvement in Boosting Method by Using RUSTBoost Technique for Class Imbalanced Data,es in one class is more or less compared to another class. Data mining algorithms may generate suboptimal classification models when trained with imbalanced datasets. Several techniques have been proposed to solve the class imbalance problem. One of them includes boosting which is combined with resa作者: 終點(diǎn) 時(shí)間: 2025-3-29 11:44
A Survey on Medical Diagnosis of Diabetes Using Machine Learning Techniques,uccessfully employed in assorted applications including medical diagnosis. By developing classifier system, machine learning algorithm may immensely help to solve the health-related issues which can assist the physicians to predict and diagnose diseases at an early stage. We can ameliorate the speed作者: 符合你規(guī)定 時(shí)間: 2025-3-29 18:00
How Effective Is the Moth-Flame Optimization in Diabetes Data Classification,e science approaches like machine intelligence are used to detect the type of diabetes in a patient for getting correct accuracy. This paper uses a metaheuristic algorithm named Moth-Flame Optimization for diabetes data classification. The MFO is used to update the weights of the feed foreword neura作者: 充氣球 時(shí)間: 2025-3-29 20:38 作者: 燈絲 時(shí)間: 2025-3-30 02:48 作者: glomeruli 時(shí)間: 2025-3-30 05:35
Recommending Top , Movies Using Content-Based Filtering and Collaborative Filtering with Hadoop androm a large set of movies list and their ratings based on different users. Since the number of users and the movies are increasing day by day, computing the recommended movies list in a single node machine takes a very large time. Hence to reduce the computation time, we are using Hadoop framework t作者: crease 時(shí)間: 2025-3-30 08:39
WSD for Assamese Language,valuated for our previously developed Assamese Word-Sense Disambiguation (WSD) system where potential outcomes of using semantic features were evaluated up to a limited extent. As semantic relationship information has a good effect in most of the natural language processing (NLP) tasks, in this work作者: 使糾纏 時(shí)間: 2025-3-30 16:01 作者: 膽汁 時(shí)間: 2025-3-30 20:29 作者: 能得到 時(shí)間: 2025-3-30 22:36 作者: 注意 時(shí)間: 2025-3-31 01:55
Multi-lingual Text Localization from Camera Captured Images Based on Foreground Homogenity Analysisand geometric properties of multi-lingual text. In this work, we explore the possibility of identifying and localizing text regions based on their degree of homogeneity compared to the non-text regions of the image by binning red, green, blue channels and gray levels into bins represented individual作者: THE 時(shí)間: 2025-3-31 06:14 作者: 嚴(yán)厲批評 時(shí)間: 2025-3-31 12:59 作者: Pantry 時(shí)間: 2025-3-31 14:14 作者: 鞭打 時(shí)間: 2025-3-31 17:49 作者: cushion 時(shí)間: 2025-3-31 22:15 作者: ostensible 時(shí)間: 2025-4-1 05:49
Analyzing Social Trend Towards Girl Child in India: A Machine Intelligence-Based Approach,the opinion. In the current work, instead of binary classification, a multi-class sentiment classification has been introduced. To achieve the objective of the proposed work, four popular classifiers of machine intelligence domain have been used. Accuracy and Kappa statistics has been employed to measure the performance of the proposed model.作者: PATRI 時(shí)間: 2025-4-1 09:20 作者: 宏偉 時(shí)間: 2025-4-1 12:57 作者: Mercurial 時(shí)間: 2025-4-1 15:25
Distance Transform-Based Stroke Feature Descriptor for Text Non-text Classification, of such pixels is used for designing the feature descriptors. Finally, we classify the components using a neural network-based classifier. Experimental result shows that component classification accuracy is more than 88%, which is much impressive in practical scenario.