標(biāo)題: Titlebook: Computational Intelligence in Data Mining; Proceedings of the I Himansu Sekhar Behera,Janmenjoy Nayak,Danilo Pelus Conference proceedings 2 [打印本頁] 作者: microbe 時間: 2025-3-21 19:13
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書目名稱Computational Intelligence in Data Mining網(wǎng)絡(luò)公開度
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書目名稱Computational Intelligence in Data Mining被引頻次
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書目名稱Computational Intelligence in Data Mining讀者反饋
書目名稱Computational Intelligence in Data Mining讀者反饋學(xué)科排名
作者: 哺乳動物 時間: 2025-3-22 00:12 作者: Microaneurysm 時間: 2025-3-22 01:44 作者: 制度 時間: 2025-3-22 08:35 作者: Perennial長期的 時間: 2025-3-22 10:13
Finding Correlation Between Twitter Influence Metrics and Centrality Measures for Detection of Inflcing many aspects of our lives such as product recommendations, movie reviews, political?campaigns, game predictions, and so on. It can be found that often few individuals tend to be influential enough to drive a whole group or network towards a particular thought. Network Centrality is one of the m作者: 衍生 時間: 2025-3-22 14:16
QMAA: QoS and Mobility Aware ACO Based Opportunistic Routing Protocol for MANET,e network area. The frequent changes in network topology may suffer from the frequent task of link breaks and links building to transfer data from the source node destination node. The quality of service (QoS) performance of such networks mainly depends on how well the routes are stables and efficie作者: 衍生 時間: 2025-3-22 20:07 作者: Obsessed 時間: 2025-3-23 00:31
An Approach to Compress English Posts from Social Media Texts, formally defined?as transformation of sentence into precise form by preserving?the original meaning of the sentence. In this paper, we propose an approach for compressing sentences from Facebook English posts by?dropping those words who contribute very less importance to the overall meaning of sent作者: 疲憊的老馬 時間: 2025-3-23 02:57
A Deep Learning Approach to Predict Football Match Result,in last two decades and provided the probabilities of outcomes of a scheduled match. In this paper we proposed a deep neural network based model to automatically predict result of a football match. The model is trained on selective features and evaluated?through experiment results. We compared our p作者: 粉筆 時間: 2025-3-23 08:06 作者: 交響樂 時間: 2025-3-23 11:24
Rating Prediction of Tourist Destinations Based on Supervised Machine Learning Algorithms,ia corpus based on different places around?the world. Intelligent predictions?about the possible popularity of a tourist location will be very helpful for personal and commercial purposes. To?predict the demand for the site, rating score on a range of 1–5 is a proper measure of the popularity of a p作者: 高度 時間: 2025-3-23 14:19 作者: 按等級 時間: 2025-3-23 19:02
Prediction of Arteriovenous Nicking for Hypertensive Retinopathy Using Deep Learning,ng one of the causes of hypertensive blood pressure, it is needed to be diagnosed at an early stage. This paper explains a method devised using deep learning to classify arteriovenous nicking using the retinal images of the patient. The dataset provided by the Structured Analysis of the Retina proje作者: 脫毛 時間: 2025-3-24 00:12 作者: 跑過 時間: 2025-3-24 04:53
,Trendingtags—Classification & Prediction of Hashtag Popularity Using Twitter Features in Machine Lerending in the near future is of significant importance for taking proper decisions in news media, marketing and social media advertising. This research work is aimed at predicting the popularity and tagging the hash tags using machine learning algorithms. It categorizes the popularity under five cl作者: Tortuous 時間: 2025-3-24 08:23 作者: 駁船 時間: 2025-3-24 11:02 作者: 違反 時間: 2025-3-24 15:24 作者: Fierce 時間: 2025-3-24 21:26 作者: PACT 時間: 2025-3-25 02:59
Environmental Games and Queue Models depict the improvements of Random Forest in terms of computational time and memory without affecting the efficiency of the traditional Random Forest. Experimental results show that the proposed RRF outperforms with others in terms of memory utilization and computation time.作者: Herbivorous 時間: 2025-3-25 05:37
Marketing and Relationship Managementt more stable and mobility aware routes to forwarded data from source to destination. The proposed routing protocol is based on optimization scheme called Ant Colony Optimization (ACO) with swarm intelligence approach. This proposed method used the RSSI measurements and energy metrics to determine t作者: 教育學(xué) 時間: 2025-3-25 07:39 作者: cipher 時間: 2025-3-25 12:49 作者: ineffectual 時間: 2025-3-25 15:51 作者: 披肩 時間: 2025-3-25 21:06 作者: CLIFF 時間: 2025-3-26 01:08
Himansu Sekhar Behera,Janmenjoy Nayak,Danilo PelusContains current research issues of developments of soft computing, data mining and computational intelligence.Presents applications of current issues of research in green computing, big data analysis作者: 褪色 時間: 2025-3-26 07:18 作者: 虛構(gòu)的東西 時間: 2025-3-26 09:12 作者: overweight 時間: 2025-3-26 14:23
Strategic Management of Marine Ecosystemslevel or cluster center level. In distance-based clustering methods, silhouette is an efficient point to point index measure, which defines relation based on compactness and separation distances. To validate fuzzy partitions, fuzzy silhouette index is used by applying defuzzification process. One of作者: 上坡 時間: 2025-3-26 17:23 作者: Leisureliness 時間: 2025-3-27 00:47
https://doi.org/10.1007/1-4020-3198-X in fields like academia, Research papers, Publications, Patents, etc. In this paper, we deliberate the techniques for detecting the extrinsic plagiarism. These techniques are based on linguistic features, Semantic role labelling, vector space model, Fuzzy semantic string matching, and N-gram approa作者: phase-2-enzyme 時間: 2025-3-27 03:40
Strategic Management of Market Nichesated with sensing technology as well as controls with timings to embedded devices to enhance energy efficiency and security. The technology associated with this technique is somehow responsible toward many relevant areas including Internet of Things. Basically, the concept is based on multiuser and 作者: 胎兒 時間: 2025-3-27 07:29 作者: Infusion 時間: 2025-3-27 11:59
Marketing and Relationship Managemente network area. The frequent changes in network topology may suffer from the frequent task of link breaks and links building to transfer data from the source node destination node. The quality of service (QoS) performance of such networks mainly depends on how well the routes are stables and efficie作者: Offensive 時間: 2025-3-27 15:49
Stephan Kaiser,Max Josef Ringlstetterhe behavior of fish schooling and birds flocking. Layout of the Institute machine shop is selected as an environment for determining the trajectory length. Total fifteen numbers of obstacles (machines) are acknowledged during this analysis. The selected approach not only delivers curtail path length作者: 突襲 時間: 2025-3-27 21:32
Stephan Kaiser,Max Josef Ringlstetter formally defined?as transformation of sentence into precise form by preserving?the original meaning of the sentence. In this paper, we propose an approach for compressing sentences from Facebook English posts by?dropping those words who contribute very less importance to the overall meaning of sent作者: 救護(hù)車 時間: 2025-3-28 00:48
Stephan Kaiser,Max Josef Ringlstetterin last two decades and provided the probabilities of outcomes of a scheduled match. In this paper we proposed a deep neural network based model to automatically predict result of a football match. The model is trained on selective features and evaluated?through experiment results. We compared our p作者: 言行自由 時間: 2025-3-28 05:47
The Business of Professional Service Firmsrs of treatment. To aid in the medical treatment and for clinical management, the early cancer diagnosis and prognosis have become the necessity in breast cancer recurrence. As the medical data is increasing with the advancement in medical technology, data mining facilitates to manage the data and p作者: Diskectomy 時間: 2025-3-28 09:08
The Subsectors of Professional Service Firmsia corpus based on different places around?the world. Intelligent predictions?about the possible popularity of a tourist location will be very helpful for personal and commercial purposes. To?predict the demand for the site, rating score on a range of 1–5 is a proper measure of the popularity of a p作者: 小丑 時間: 2025-3-28 13:47 作者: Armada 時間: 2025-3-28 17:51
Computer assistance to strategiesng one of the causes of hypertensive blood pressure, it is needed to be diagnosed at an early stage. This paper explains a method devised using deep learning to classify arteriovenous nicking using the retinal images of the patient. The dataset provided by the Structured Analysis of the Retina proje作者: Reverie 時間: 2025-3-28 19:32 作者: ETCH 時間: 2025-3-29 01:54 作者: Lice692 時間: 2025-3-29 06:31
P. Humphreys,K. L. Mak,R. McIvor,W. McAleertification is achieved by comparing distance measures of new test cases with existing cases within the base. The patterns pertaining to the images are captured by fusing some standard global features with some indigenously developed local feature sets. Outlier values in both these sets are handled t作者: 護(hù)航艦 時間: 2025-3-29 11:04
Computer assistance to strategies as e-commerce sites, shopping sites like Amazon, Netflix, research journals, mobile-based platforms and TV-based platforms. Collaborative Filtering (CF) is the most popular widely used tool on the Internet for recommender systems to search for new items that fit users’ interest by finding similar u作者: glomeruli 時間: 2025-3-29 14:21
P. Humphreys,K. L. Mak,R. McIvor,W. McAleerconsidering the various features like linearity, Circularity and dimensionality etc. This model is an intelligent one by employing various nature-inspired algorithms and classifiers like ANN (Artificial Neural Network), KNN (Kth nearest neighbor), SVM (Support-Vector-Machine) and LSSVM (Least-Square作者: Carcinogenesis 時間: 2025-3-29 19:19
https://doi.org/10.1007/978-3-8349-9254-3depends upon the efficiency with which it performs a given task with shortest possible time. This research presents a proposal, to optimize the path for a particular task by adopting Particle Swarm Optimization (PSO) algorithm. For the analysis of optimal path, total ten numbers of objects have been作者: Lime石灰 時間: 2025-3-29 23:35 作者: 按時間順序 時間: 2025-3-30 00:41
978-981-13-8675-6Springer Nature Singapore Pte Ltd. 2020作者: Estrogen 時間: 2025-3-30 05:17
2194-5357 knesses of trending applications, together with exciting advances in computational intelligence, data mining, and related fields..978-981-13-8675-6978-981-13-8676-3Series ISSN 2194-5357 Series E-ISSN 2194-5365 作者: AXIS 時間: 2025-3-30 10:22
Strategic Management of Marine Ecosystemsenter and center to mean levels. All these methods are applied to find the right number of cluster and they are giving correct value in minimum execution time. All work is implemented in Matlab and effective results are given by our proposed methods.作者: 方舟 時間: 2025-3-30 13:37 作者: 不怕任性 時間: 2025-3-30 16:57
Computer assistance to strategiesearchers i.e. Matrix Factorization (MF) and Singular Value Decomposition?(SVD) with finding accuracy. Compared with SVD and MF, WBSVD achieves better recommendation quality and is more accurate from experimental results.作者: cleaver 時間: 2025-3-30 22:28 作者: 枕墊 時間: 2025-3-31 04:31 作者: conflate 時間: 2025-3-31 06:12 作者: Etching 時間: 2025-3-31 11:00 作者: 共同生活 時間: 2025-3-31 16:03
An Effective Trajectory Planning for a Material Handling Robot Using PSO Algorithm, but also generates a traffic-free trajectory. The material handling robot is not colliding with any machines during movement. The programming codes for the selected approach are written, compiled, and run through a software: MATLAB.作者: 比目魚 時間: 2025-3-31 18:51 作者: Factorable 時間: 2025-4-1 01:26 作者: 出價 時間: 2025-4-1 05:44
Prediction of Arteriovenous Nicking for Hypertensive Retinopathy Using Deep Learning,ct (STARE) has been used as training data and then classified in the presence and absence of arteriovenous nicking by using the proposed model. Proposed model, i.e., aggregate residual neural network (ResNeXt) which has been evaluated with performance metric and achieved more than 94% accuracy on the test dataset.作者: strdulate 時間: 2025-4-1 09:48 作者: 光亮 時間: 2025-4-1 11:47 作者: 會犯錯誤 時間: 2025-4-1 17:23
Conference proceedings 2020onal intelligence, big data analytics, and soft computing. This gathers outstanding papers from the fifth International Conference on “Computational Intelligence in Data Mining” (ICCIDM), and offer a “sneak preview” of the strengths and weaknesses of trending applications, together with exciting adv
