標(biāo)題: Titlebook: Big Data Analytics; 5th International Co P. Krishna Reddy,Ashish Sureka,Subhash Bhalla Conference proceedings 2017 Springer International P [打印本頁(yè)] 作者: Stenosis 時(shí)間: 2025-3-21 17:17
書目名稱Big Data Analytics影響因子(影響力)
書目名稱Big Data Analytics影響因子(影響力)學(xué)科排名
書目名稱Big Data Analytics網(wǎng)絡(luò)公開(kāi)度
書目名稱Big Data Analytics網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書目名稱Big Data Analytics被引頻次
書目名稱Big Data Analytics被引頻次學(xué)科排名
書目名稱Big Data Analytics年度引用
書目名稱Big Data Analytics年度引用學(xué)科排名
書目名稱Big Data Analytics讀者反饋
書目名稱Big Data Analytics讀者反饋學(xué)科排名
作者: BAN 時(shí)間: 2025-3-21 23:50
P. Krishna Reddy,Ashish Sureka,Subhash BhallaIncludes supplementary material: 作者: 鬼魂 時(shí)間: 2025-3-22 03:04 作者: CHYME 時(shí)間: 2025-3-22 05:58 作者: chapel 時(shí)間: 2025-3-22 09:50 作者: CAB 時(shí)間: 2025-3-22 16:42 作者: mechanical 時(shí)間: 2025-3-22 19:42 作者: 神化怪物 時(shí)間: 2025-3-22 22:59 作者: condescend 時(shí)間: 2025-3-23 03:00
Marianella Campos Friz,Barbara Bischoffse features can also be of different types. Examples of such multi-feature data include different modes of interactions among people (Facebook, Twitter, LinkedIn, ...) or traffic accidents associated with diverse factors (speed, light conditions, weather, ...)..Efficiently modeling and analyzing the作者: 訓(xùn)誡 時(shí)間: 2025-3-23 06:47 作者: 不可接觸 時(shí)間: 2025-3-23 10:16 作者: cultivated 時(shí)間: 2025-3-23 15:24 作者: 冰雹 時(shí)間: 2025-3-23 21:23
Intraoperative Neurophysiological Monitoringers on MonetDB and C-Store opened up the world of column stores that retain the SQL model but use different store and engine for performance gains. The emergence of pay-by-use clouds and MPP versions of column stores on cloud eliminated scale-out issues of row stores. Data mining researchers have al作者: falsehood 時(shí)間: 2025-3-23 23:13 作者: chronicle 時(shí)間: 2025-3-24 02:41 作者: 多節(jié) 時(shí)間: 2025-3-24 09:41 作者: Munificent 時(shí)間: 2025-3-24 11:28
Intraoperative Neurophysiological Monitoringar diseases (CVDs). With recent developments in clinical science and the availability of devices to capture heart beats, researchers are now exploring the possibility of a machine assisted heart sound analysis system that can augment the clinical expertise of the physician in early detection of CVD.作者: 消息靈通 時(shí)間: 2025-3-24 18:50
Intraoperative Neurophysiological Monitoringales-rank of a product would imply an early guess of its sales-popularity relative to the other products on Amazon, which is one of the largest e-commerce hub across the globe. Traditional methods suggest use of product review related features, e.g., volume of reviews, text content of the reviews et作者: irreducible 時(shí)間: 2025-3-24 21:12 作者: Fissure 時(shí)間: 2025-3-24 23:14 作者: thalamus 時(shí)間: 2025-3-25 07:14
https://doi.org/10.1007/978-3-319-72413-3Artificial intelligence; Big data; Cluster analysis; Clustering; Data mining; Databases; HCI; Learning algo作者: induct 時(shí)間: 2025-3-25 08:30 作者: EVEN 時(shí)間: 2025-3-25 12:09 作者: 傲慢人 時(shí)間: 2025-3-25 16:10 作者: UNT 時(shí)間: 2025-3-25 22:46
Integration of Text Classification Model with Speech to Text Systemn, consequent action is initiated. Our trained model will eliminate the need for agents manually processing the conversation and initiating required action. The system can save lot of energy, time and other resources.作者: Insubordinate 時(shí)間: 2025-3-26 02:33 作者: 整頓 時(shí)間: 2025-3-26 05:25 作者: 伙伴 時(shí)間: 2025-3-26 11:12 作者: 哀求 時(shí)間: 2025-3-26 15:07
Modern Column Stores for Big Data Processingso shown that SQL on parallel, columnar database could be a candidate for Big Data analytics. In this survey written for a tutorial, we trace the technology evolution and history of the . of row stores and . of column stores, delving into architectural details of column DBs from academia and industry.作者: vitrectomy 時(shí)間: 2025-3-26 18:10 作者: Notify 時(shí)間: 2025-3-27 00:30 作者: preeclampsia 時(shí)間: 2025-3-27 02:05 作者: Oratory 時(shí)間: 2025-3-27 06:05 作者: instulate 時(shí)間: 2025-3-27 11:25
A Framework to Improve Reuse in Weather-Based DSS Based on Coupling Weather Conditionsl Department (IMD). The extent of reuse has been computed by considering 30?years of weather data from Rajendranagar, Hyderabad, Telangana State, based on the weather categories data provided by IMD. The reuse over 30?years is computed by considering the period of year and crop seasons of a year. Pe作者: 損壞 時(shí)間: 2025-3-27 17:23
Holistic Analysis of Multi-source, Multi-feature Data: Modeling and Computation Challengesypes of data. The benefits of this modeling in terms of ease, understanding, and usage are highlighted. However, this model brings with it a new set of challenges for its analysis. The bulk of the paper discusses these challenges and the advantages of using this approach. With the right tools, both 作者: 擔(dān)心 時(shí)間: 2025-3-27 20:50 作者: Myosin 時(shí)間: 2025-3-28 00:08 作者: lattice 時(shí)間: 2025-3-28 05:20 作者: 有效 時(shí)間: 2025-3-28 08:26
Temporal Topic Modeling of Scholarly Publications for Future Trend Forecastingr improved prediction. To predict the popularity of a topic in the near future, time series analysis based on a set of topic vectors is performed. For experimental validation of the proposed approach, a dataset composed of 17?years worth of computer science scholarly articles, published through stan作者: 前面 時(shí)間: 2025-3-28 11:19
Trip Planning and Scheduling Queries in Spatial Databases: A Surveylve more than one user and POIs of multiple types, and more importantly, the query answer is evaluated from a huge POI database. In this survey, we give an overview of the state of the art approaches for processing trip planning and scheduling queries. We compare these approaches from different angl作者: 機(jī)警 時(shí)間: 2025-3-28 16:32 作者: Angiogenesis 時(shí)間: 2025-3-28 20:36
Analysis of the Co-purchase Network of Products to Predict Amazon Sales-Rank This network-assisted approach has two distinct advantages over the traditional baseline method based on review analysis – (i) it works even if the product has no reviews (relevant especially in the early stages of the product launch) and (ii) it is notably more discriminative in classifying a popu作者: 清澈 時(shí)間: 2025-3-28 23:14
Computational Core for Plant Metabolomics: A?Case for Interdisciplinary Researchstical analysis, and pathway analysis functions; and also visualization, integration and sharing of data. As all users are not equally IT-savvy, it is essential that the user interface is robust, friendly and interactive where the user can submit and control various tasks running simultaneously with作者: 哺乳動(dòng)物 時(shí)間: 2025-3-29 05:10 作者: 充氣女 時(shí)間: 2025-3-29 10:10 作者: 價(jià)值在貶值 時(shí)間: 2025-3-29 13:27 作者: 閃光東本 時(shí)間: 2025-3-29 17:37 作者: 難聽(tīng)的聲音 時(shí)間: 2025-3-29 21:10 作者: BALE 時(shí)間: 2025-3-30 01:05
Intraoperative Neurophysiological Monitoringr improved prediction. To predict the popularity of a topic in the near future, time series analysis based on a set of topic vectors is performed. For experimental validation of the proposed approach, a dataset composed of 17?years worth of computer science scholarly articles, published through stan作者: 抱怨 時(shí)間: 2025-3-30 07:27 作者: majestic 時(shí)間: 2025-3-30 11:14
Intraoperative Neurophysiological Monitoringto train three different classification algorithms and discuss the effects of class imbalance (normal vs.?abnormal) on the precision-recall trade-off of the prediction task. Specifically, our goal is to find a suitable model that takes into account the inherent imbalance and optimize the precision-r作者: curettage 時(shí)間: 2025-3-30 14:52 作者: 結(jié)束 時(shí)間: 2025-3-30 19:07 作者: 離開(kāi)就切除 時(shí)間: 2025-3-30 23:21 作者: 豐富 時(shí)間: 2025-3-31 02:34 作者: 預(yù)防注射 時(shí)間: 2025-3-31 05:24 作者: dura-mater 時(shí)間: 2025-3-31 13:06 作者: 定點(diǎn) 時(shí)間: 2025-3-31 14:48 作者: 高興去去 時(shí)間: 2025-3-31 21:05
