標(biāo)題: Titlebook: Big Data Analytics; 7th International Co Sanjay Madria,Philippe Fournier-Viger,P. Krishna R Conference proceedings 2019 Springer Nature Swi [打印本頁] 作者: hormone-therapy 時(shí)間: 2025-3-21 18:50
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)公開度
書目名稱Big Data Analytics網(wǎng)絡(luò)公開度學(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: anagen 時(shí)間: 2025-3-22 00:06
Deep Learning Models for Medical Image Analysis: Challenges and Future Directionsof DL. The success of DL methods can be owed to the availability of data, boosted computation power provided by the existing graphics processing units (GPUs), and ground-breaking training algorithms. In this paper, we have overviewed the area of DL in medical imaging, including (1) machine learning 作者: 音的強(qiáng)弱 時(shí)間: 2025-3-22 01:02 作者: EXCEL 時(shí)間: 2025-3-22 05:52
Data Cube Is Dead, Long Life to Data Cube in the Age of Web Datanternal sources. In this invited paper, we attempt to answer the following question: how does DW technology interact with Linked Open Data (LOD)? To answer the question, we provide a complete vision to augment the traditional DW with LOD, to capture and quantify the added value generated through thi作者: CLOT 時(shí)間: 2025-3-22 09:56 作者: 無力更進(jìn) 時(shí)間: 2025-3-22 13:27
Large-Scale Information Extraction from Emails with Data Constraintscation, building the information extraction models, deployment, and monitoring. To handle the privacy and scalability issues, we focus on algorithms which can work with minimum human annotated samples for building classifier and extraction techniques. Similarly, we present algorithms to minimize sam作者: 十字架 時(shí)間: 2025-3-22 20:50 作者: 一再遛 時(shí)間: 2025-3-23 00:36
Su?ruta: Artificial Intelligence and Bayesian Knowledge Network in Health Care – Smartphone Apps forng (NLP) to analyze the unstructured clinical data and translate it into computer understandable 3. Generation SNOMED and ICD10 ontologies; (2) Speech Synthesis; (3) Artificial Neural Network (ANN) with Machine Learning and Deep Learning (ML/DL) on 60,283 labelled common blood counts (CBC) and High 作者: monogamy 時(shí)間: 2025-3-23 04:23 作者: 翻動(dòng) 時(shí)間: 2025-3-23 08:07
Market Intelligence for Agricultural Commodities Using Forecasting and Deep Learning Techniquesw agricultural commodities. This PoC takes daily market price and weather data as input, transforms it into information and generates actionable intelligence by applying forecasting and deep learning techniques. The system provides trend analysis, short term as well as long term commodity price pred作者: ATP861 時(shí)間: 2025-3-23 11:59 作者: 聲音刺耳 時(shí)間: 2025-3-23 14:35
Intraoperative Findings in Spinal Lesionsrd realization of smart and sustainable cities. For example, association discovery from a variety of meteorological and traffic data is performed to create and distribute a map that predicts various transport disturbance risks due to heavy rain, heavy snow and other abnormal weather conditions and t作者: MAG 時(shí)間: 2025-3-23 20:51 作者: PANT 時(shí)間: 2025-3-24 00:46 作者: 凹槽 時(shí)間: 2025-3-24 05:09
Ignazio G. Vetrano MD,Francesco Pradanternal sources. In this invited paper, we attempt to answer the following question: how does DW technology interact with Linked Open Data (LOD)? To answer the question, we provide a complete vision to augment the traditional DW with LOD, to capture and quantify the added value generated through thi作者: 敲竹杠 時(shí)間: 2025-3-24 07:26 作者: bronchiole 時(shí)間: 2025-3-24 14:03 作者: contradict 時(shí)間: 2025-3-24 17:42
https://doi.org/10.1007/3-7985-1640-5e three approaches for Gujarati language. The aim of the study is to evaluate the effectiveness of different types of stemmers for Gujarati language. Firstly, we discuss the rule-based algorithm and present its evaluation with 152 different suffix stripping rules. Next, we illustrate stemming mechan作者: Eosinophils 時(shí)間: 2025-3-24 21:26
C-Bogen und Strahlenschutz im OPng (NLP) to analyze the unstructured clinical data and translate it into computer understandable 3. Generation SNOMED and ICD10 ontologies; (2) Speech Synthesis; (3) Artificial Neural Network (ANN) with Machine Learning and Deep Learning (ML/DL) on 60,283 labelled common blood counts (CBC) and High 作者: Magnitude 時(shí)間: 2025-3-25 02:35
C-Bogen und Strahlenschutz im OPd few verified tree type identification datasets exist. Related work has not explored how tree structure characteristics translate into a profile view of a tree’s shadow or quantified the feasibility of shadow-only based tree type identification. We created a consistent and accurate dataset of 4,613作者: 泰然自若 時(shí)間: 2025-3-25 04:29 作者: 不在灌木叢中 時(shí)間: 2025-3-25 10:50
C-Bogen und Strahlenschutz im OP to represent data and different analysis techniques that support flexibility of analysis, efficiency, and scalability. We want to use techniques that have worked well – whether it is for modeling, efficiency or scalability. We also want to extend these techniques and/or develop new and improved one作者: 清真寺 時(shí)間: 2025-3-25 13:18
Sanjay Madria,Philippe Fournier-Viger,P. Krishna R作者: 一瞥 時(shí)間: 2025-3-25 16:56
Segment-Search vs Knowledge Graphs: Making a Key-Word Search Engine for Web Documentsique is based on performing web page segmentation as per user perceived objects. Thus, it allows users’ to query without the knowledge of complex query languages or learning about the data organization schemes. The proposed system is scalable and can cater to large scale web document sources.作者: BARGE 時(shí)間: 2025-3-25 20:39 作者: CLIFF 時(shí)間: 2025-3-26 00:13
https://doi.org/10.1007/3-7985-1640-5 search procedure to always explore the most promising patterns first. An extensive experimental evaluation shows that TKG has excellent performance and that it provides a valuable alternative to traditional frequent subgraph mining algorithms.作者: 榮幸 時(shí)間: 2025-3-26 07:14
Improving Result Diversity Using Query Term Proximity in Exploratory Searchon, and eventually navigate a search towards goals. The evaluation asserts the usability of QTP measures to balance several seeking tradeoffs, e.g. relevance, novelty, result diversity (Coverage and Topicality), and overall retrieval. The assessment of user search trails indicates significant growth in a learning outcome.作者: 寬度 時(shí)間: 2025-3-26 09:03 作者: Overstate 時(shí)間: 2025-3-26 13:49
0302-9743 , in December 2019..The 25 papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; search and information extraction; predictive analytics in medical and agricultural do作者: RAFF 時(shí)間: 2025-3-26 16:54 作者: Texture 時(shí)間: 2025-3-26 21:52
Gossip Based Distributed Real Time Task Scheduling with Guaranteed Performance on Heterogeneous Netwage complexity incurred during gossiping we propose to use an expander graph. Performance analysis and simulation results show that GBTS-F performs better than other state of art algorithms in terms of message complexity and task success probability.作者: 評論性 時(shí)間: 2025-3-27 03:57 作者: 含糊 時(shí)間: 2025-3-27 05:56
Conference proceedings 2019s named: big data analytics: vision and perspectives; search and information extraction; predictive analytics in medical and agricultural domains; graph analytics; pattern mining; and machine learning..作者: lipoatrophy 時(shí)間: 2025-3-27 09:52 作者: 預(yù)知 時(shí)間: 2025-3-27 14:21
https://doi.org/10.1007/978-3-642-74045-9ique is based on performing web page segmentation as per user perceived objects. Thus, it allows users’ to query without the knowledge of complex query languages or learning about the data organization schemes. The proposed system is scalable and can cater to large scale web document sources.作者: 駁船 時(shí)間: 2025-3-27 18:33 作者: ligature 時(shí)間: 2025-3-27 22:56
Deep Learning Models for Medical Image Analysis: Challenges and Future Directionslong time the ANN remained inadequate in solving real problems, because of - the problems of overfitting and vanishing gradient while training a deep architecture, dearth of computation power, and non-availability of enough data for training the framework. This concept has lately re-emerged, in the 作者: IRK 時(shí)間: 2025-3-28 03:01
Recent Advances and Challenges in Design of Non-goal-Oriented Dialogue Systemsural and intuitive with the aim of providing user an effortless and organic interaction with the devices. A dialogue agent is one such interface that interacts with the user in natural language. Recent paradigm classifies them as goal-oriented and non-goal-oriented dialogue systems. The aim of goal-作者: 軍火 時(shí)間: 2025-3-28 06:35 作者: 喧鬧 時(shí)間: 2025-3-28 11:07
Improving Result Diversity Using Query Term Proximity in Exploratory Searcherse document frequency (idf), etc. Query term proximity within matched documents is mostly under-explored. In this paper, a novel information retrieval framework is proposed, to promote the documents among all relevant retrieved ones. The relevance estimation is a weighted combination of document s作者: 媒介 時(shí)間: 2025-3-28 14:38
Segment-Search vs Knowledge Graphs: Making a Key-Word Search Engine for Web Documents It presents a query language. It is suitable for skilled and semi-skilled domain experts, who are adept at the use of a specific collection of documents. It returns suitable documents selected by using document fragments, that satisfy user’s query. In contrast to knowledge graph approach, the techn作者: Canopy 時(shí)間: 2025-3-28 20:14
Pairing Users in Social Media via Processing Meta-data from Conversational Filesviewed, downloaded and analyzed by unauthorized entities, a large number of people are still willing to compromise their privacy today. On the other hand though, this trend may change. Improved awareness on protecting content on social media, coupled with governments creating and enforcing data prot作者: 柱廊 時(shí)間: 2025-3-28 23:53
Large-Scale Information Extraction from Emails with Data Constraintsment. More than 60% of the email traffic constitutes business to consumer (B2C) emails (e.g., flight reservations, payment reminder, order confirmations, etc.). Most of these emails are generated by filling a . with user or transaction specific values from databases. In this paper we describe variou作者: pineal-gland 時(shí)間: 2025-3-29 03:17 作者: conference 時(shí)間: 2025-3-29 09:39
Su?ruta: Artificial Intelligence and Bayesian Knowledge Network in Health Care – Smartphone Apps forerited hemolytic anemias like β thalassemias (β-TT). In Eastern and North-Eastern India about 25–40% of the public blood bank blood is consumed by patients with β Thalassemia. Moreover, 51% of Indian women in the reproductive age suffer from IDA. Most vulnerable group of anemic patients is in the ru作者: 監(jiān)禁 時(shí)間: 2025-3-29 11:46 作者: chassis 時(shí)間: 2025-3-29 15:33 作者: 嘲弄 時(shí)間: 2025-3-29 20:53 作者: 憤慨一下 時(shí)間: 2025-3-30 03:41
Why Multilayer Networks Instead of?Simple Graphs? Modeling Effectiveness and Analysis Flexibility an a few. We are also in search for models and analytical techniques that can accommodate more complex and increasingly large size data (scalability). Our ability to analyze large complex, disparate data for a broad set of analysis objectives differentiates big data analytics from mining which is narr作者: theta-waves 時(shí)間: 2025-3-30 06:15
Gossip Based Distributed Real Time Task Scheduling with Guaranteed Performance on Heterogeneous Netwnfrastructure. We propose a distributable scheduling algorithm using gossip called GBTS-F for reliable and dynamic discovery of appropriate nodes which can execute the tasks. GBTS-F uses the slack time of the tasks for optimizing the gossiping duration and thus satisfies the each task timing constra作者: Conflagration 時(shí)間: 2025-3-30 09:40 作者: 北極人 時(shí)間: 2025-3-30 13:23 作者: Morbid 時(shí)間: 2025-3-30 19:53 作者: Obvious 時(shí)間: 2025-3-30 23:51 作者: creditor 時(shí)間: 2025-3-31 01:51 作者: eucalyptus 時(shí)間: 2025-3-31 05:24 作者: Crater 時(shí)間: 2025-3-31 11:46
https://doi.org/10.1007/978-3-642-74045-9viewed, downloaded and analyzed by unauthorized entities, a large number of people are still willing to compromise their privacy today. On the other hand though, this trend may change. Improved awareness on protecting content on social media, coupled with governments creating and enforcing data prot作者: seruting 時(shí)間: 2025-3-31 15:13
https://doi.org/10.1007/3-7985-1640-5ment. More than 60% of the email traffic constitutes business to consumer (B2C) emails (e.g., flight reservations, payment reminder, order confirmations, etc.). Most of these emails are generated by filling a . with user or transaction specific values from databases. In this paper we describe variou
