標(biāo)題: Titlebook: Data Mining and Big Data; Second International Ying Tan,Hideyuki Takagi,Yuhui Shi Conference proceedings 2017 Springer International Publis [打印本頁] 作者: ODDS 時(shí)間: 2025-3-21 18:29
書目名稱Data Mining and Big Data影響因子(影響力)
書目名稱Data Mining and Big Data影響因子(影響力)學(xué)科排名
書目名稱Data Mining and Big Data網(wǎng)絡(luò)公開度
書目名稱Data Mining and Big Data網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Mining and Big Data被引頻次
書目名稱Data Mining and Big Data被引頻次學(xué)科排名
書目名稱Data Mining and Big Data年度引用
書目名稱Data Mining and Big Data年度引用學(xué)科排名
書目名稱Data Mining and Big Data讀者反饋
書目名稱Data Mining and Big Data讀者反饋學(xué)科排名
作者: COW 時(shí)間: 2025-3-21 23:00
Mining Relationship Between User Purposes and Product Features Towards Purpose-Oriented Recommendatimade by other users, which is not an effective way when confronting loaded of information and especially if the buyers are beginner users who have limited experience and knowledge. To deal with these problems, we propose a framework of purpose-oriented recommendation which present a ranking of produ作者: 浪費(fèi)物質(zhì) 時(shí)間: 2025-3-22 02:38
Finding Top-k Fuzzy Frequent Itemsets from DatabasesNevertheless, frequent itemsets are redundant for the users. A better way is to show the top-k results accordingly. In this paper, we define the score of fuzzy frequent itemset and propose the problem of top-k fuzzy frequent itemset mining, which, to the best of our knowledge, has never been focused作者: 精密 時(shí)間: 2025-3-22 07:55 作者: conscience 時(shí)間: 2025-3-22 10:01 作者: 寡頭政治 時(shí)間: 2025-3-22 14:07
Correlation Analysis of Diesel Engine Performance Testing Data Based on Mixed-Copula Methodring the diesel engine performance testing process including many control parameters which are strongly coupled with each other, it is difficult to carry out accurate probability distribution description and correlation analysis, this paper presents a correlation analysis method based on mixed copul作者: 寡頭政治 時(shí)間: 2025-3-22 20:53 作者: Incorporate 時(shí)間: 2025-3-22 22:18
Incremental Adaptive Time Series Prediction for Power Demand Forecastinge in grid and related costs. Our forecasting method is designed to process continuous stream of data from smart meters incrementally and to adapt the prediction model to concept drifts in power demand. It identifies drifts using a condition based on an acceptable distributor’s daily imbalance. Using作者: 夾克怕包裹 時(shí)間: 2025-3-23 02:04 作者: 同步信息 時(shí)間: 2025-3-23 09:27 作者: Osteons 時(shí)間: 2025-3-23 13:28 作者: 態(tài)度暖昧 時(shí)間: 2025-3-23 17:08 作者: hegemony 時(shí)間: 2025-3-23 20:00 作者: Flounder 時(shí)間: 2025-3-24 00:17
Learning Analytics for SNS-Integrated Virtual Learning Environmentment into the formal learning system to engage students for their learning activities. The existing Learning Analytics (LA) focused only on analyzing formal data obtained from controlled online learning environments and the social connections and learning experience of students are not analyzed. The作者: 免除責(zé)任 時(shí)間: 2025-3-24 06:23
https://doi.org/10.1007/978-3-319-61845-6artificial intelligence; big data; classification algorithm; computer aided instruction; data communicat作者: Harass 時(shí)間: 2025-3-24 08:47 作者: COW 時(shí)間: 2025-3-24 14:41 作者: 外露 時(shí)間: 2025-3-24 15:20 作者: maverick 時(shí)間: 2025-3-24 22:28 作者: Tinea-Capitis 時(shí)間: 2025-3-25 02:34 作者: coddle 時(shí)間: 2025-3-25 04:54 作者: Palpitation 時(shí)間: 2025-3-25 09:46
J. Morbach,M. Thei?en,W. Marquardtnd universities promote faculty development programs. According to our observation, however, the major cause is rather on student’s side, such as lack of motivation, diligence, and other attitudes toward learning. In this paper, we focus on diligence. Diligence is quite important for students to lea作者: Gastric 時(shí)間: 2025-3-25 14:37 作者: finite 時(shí)間: 2025-3-25 18:34 作者: 昏迷狀態(tài) 時(shí)間: 2025-3-25 23:38 作者: 不足的東西 時(shí)間: 2025-3-26 00:59 作者: Ibd810 時(shí)間: 2025-3-26 05:22
https://doi.org/10.1007/978-981-19-6668-2 all of these models only use local attributes of each site for prediction and neglect the spatial context. Indeed, the concentrations of air pollutants follow the first law of geography: everything is related to everything else, but nearby things are more related than distinct things. To that end, 作者: flex336 時(shí)間: 2025-3-26 11:55 作者: 蜈蚣 時(shí)間: 2025-3-26 15:11
Escape Rate from?the?Metastable Stateled samples is a costly affair and many semi-supervised classification methods are introduced that can make use of unlabeled samples for training. Due to the nature of these images, high dimensional spectral features must be distinctive with preservation of absorption band in mineral mapping. We pro作者: acheon 時(shí)間: 2025-3-26 16:56 作者: 壯觀的游行 時(shí)間: 2025-3-26 21:36 作者: 我正派 時(shí)間: 2025-3-27 03:38 作者: hemoglobin 時(shí)間: 2025-3-27 05:21
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/262914.jpg作者: 真實(shí)的你 時(shí)間: 2025-3-27 11:24 作者: 遺棄 時(shí)間: 2025-3-27 17:41
Machine Learning Techniques for Prediction of Pre-fetched Objects in Handling Big Data StorageRS single-alone. However, J48 performs well in classifying the web objects for IrCache, UTM blog data, and Proxy Cloud Storage (CS) data sets. Hence, J48 was proposing to be implementing into the future work of mobile cloud storage services.作者: 表皮 時(shí)間: 2025-3-27 17:58 作者: 舊石器 時(shí)間: 2025-3-27 23:13 作者: CBC471 時(shí)間: 2025-3-28 04:01 作者: 碳水化合物 時(shí)間: 2025-3-28 07:42
https://doi.org/10.1007/978-3-540-70552-9thm, we employ a method to prune most of the fuzzy frequent itemsets immediately based on the monotony of itemset score. Theoretical analysis and experimental studies over 4 datasets demonstrate that our proposed algorithm can efficiently decrease the runtime and memory cost, and significantly outperform the naive algorithm ..作者: Phagocytes 時(shí)間: 2025-3-28 12:30 作者: engrossed 時(shí)間: 2025-3-28 18:39 作者: 一再遛 時(shí)間: 2025-3-28 21:49
Finding Top-k Fuzzy Frequent Itemsets from Databasesthm, we employ a method to prune most of the fuzzy frequent itemsets immediately based on the monotony of itemset score. Theoretical analysis and experimental studies over 4 datasets demonstrate that our proposed algorithm can efficiently decrease the runtime and memory cost, and significantly outperform the naive algorithm ..作者: 我不死扛 時(shí)間: 2025-3-29 02:07 作者: 漸變 時(shí)間: 2025-3-29 05:42 作者: Endemic 時(shí)間: 2025-3-29 08:57
Conference proceedings 2017in July/August 2017.?.The 53 papers presented in this volume were carefully reviewed and selected from 96 submissions. They were organized in topical sections named: association analysis; clustering; prediction; classification; schedule and sequence analysis; big data; data analysis; data mining; te作者: 支架 時(shí)間: 2025-3-29 12:56
A Process for Exploring Employees’ Relationships via Social Network and Sentiment Analysis is used in conjunction with emotion detection, it is possible to see the positive or negative areas where the company must work to promote a healthy organizational culture and uncover possible organizational issues in a timely manner.作者: 勤勉 時(shí)間: 2025-3-29 17:08 作者: CLAP 時(shí)間: 2025-3-29 23:06 作者: 梯田 時(shí)間: 2025-3-30 03:41 作者: 詢問 時(shí)間: 2025-3-30 04:18 作者: 非秘密 時(shí)間: 2025-3-30 09:23 作者: 高深莫測 時(shí)間: 2025-3-30 13:07
Peter D. Smallwood,Todd R. Lookingbill expected output for this proposed work is a SNS-integrated Virtual Learning Environment (VLE) named . which provides formal and informal learning for any subject domain area. User testing is conducted and both informal and formal data are stored and elicited from . to investigate the impact of this data combination for more insightful LA results.作者: Clumsy 時(shí)間: 2025-3-30 20:00
Does Student’s Diligence to Study Relate to His/Her Academic Performance?rn effectively. Among various kinds of diligence, we take two kinds of them into consideration; the length of answer text to a questionnaire, and the amount of submitted homework assignments. We investigate how these kinds of diligence of students relate each other, and how they relate to the examination score.作者: Additive 時(shí)間: 2025-3-31 00:20
Incremental Adaptive Time Series Prediction for Power Demand Forecasting only the most recent data to adapt the model (in contrast to all historical data) and adapting the model only when the need for it is detected (in contrast to creating a whole new model every day) enables the method to handle stream data. The proposed model shows promising results.作者: Redundant 時(shí)間: 2025-3-31 01:15
Food Sales Prediction with Meteorological Data — A Case Study of a Japanese Chain Supermarketwhich are used to learn how sales changes with the weathers from a large amount of history data. We showed that our method gained initial success in predicting sales of some weather-sensitive products such as drinks. Particularly, our method outperforms traditional machine learning methods by 19.3%.作者: 許可 時(shí)間: 2025-3-31 08:10
