標(biāo)題: Titlebook: Big Data Analytics and Knowledge Discovery; 22nd International C Min Song,Il-Yeol Song,Ismail Khalil Conference proceedings 2020 Springer N [打印本頁] 作者: miserly 時間: 2025-3-21 18:04
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作者: CLAP 時間: 2025-3-21 21:41
DHE,: Distributed Hybrid Evolution Engine for Performance Optimizations of Computationally Intensiveon top of the MapReduce open-source implementation in Apache Hadoop. Within DHE., we propose and implement two distributed hybrid evolution models, i.e., the MasterSlaveIslands and MicroMacroIslands models, alongside a real-world application that avoids the local optimum for clustering in an efficie作者: PANIC 時間: 2025-3-22 04:26
SONDER: A Data-Driven Methodology for Designing Net-Zero Energy Public Buildingscollaboration between nZEB actors. In this paper, we share our vision for developing Energy Management Systems for nZEB as part of .. First, we propose a comprehensive methodology (SONDER), associated with a well-identified life cycle for developing data-driven solutions. Secondly, an instantiation 作者: 運(yùn)動性 時間: 2025-3-22 05:34
HANDLE - A Generic Metadata Model for Data LakesHANDLE’s feasibility through the application to an exemplary access-use-case and a prototypical implementation. A comparison with existent models yields that HANDLE can reflect the same information and provides additional capabilities needed for metadata management in data lakes.作者: 多產(chǎn)子 時間: 2025-3-22 11:44 作者: adj憂郁的 時間: 2025-3-22 16:01
High-Utility Interval-Based Sequences and persist over varying periods of time. An algorithm named . (.) is proposed and applied to real datasets. To achieve an efficient solution, HUIPMiner is augmented with a pruning strategy. Experimental results show that HUIPMiner is an effective solution to the problem of mining high utility inte作者: AVOID 時間: 2025-3-22 19:45 作者: debris 時間: 2025-3-22 22:07
Mining Attribute Evolution Rules in Dynamic Attributed Graphsalues of multiple vertices may influence those of others with a high confidence. An efficient algorithm named AER-Miner is proposed to find these rules. Experiments on real data show AER-Miner is efficient and that AERs can provide interesting insights about dynamic attributed graphs.作者: 送秋波 時間: 2025-3-23 04:40 作者: ELATE 時間: 2025-3-23 06:44
https://doi.org/10.1007/978-1-4842-5623-7on top of the MapReduce open-source implementation in Apache Hadoop. Within DHE., we propose and implement two distributed hybrid evolution models, i.e., the MasterSlaveIslands and MicroMacroIslands models, alongside a real-world application that avoids the local optimum for clustering in an efficie作者: 有斑點(diǎn) 時間: 2025-3-23 09:50 作者: 小溪 時間: 2025-3-23 15:44
Create Solutions Using Chatbots,HANDLE’s feasibility through the application to an exemplary access-use-case and a prototypical implementation. A comparison with existent models yields that HANDLE can reflect the same information and provides additional capabilities needed for metadata management in data lakes.作者: Soliloquy 時間: 2025-3-23 18:52 作者: 迅速成長 時間: 2025-3-24 00:57
Operating Azure Kubernetes Service, and persist over varying periods of time. An algorithm named . (.) is proposed and applied to real datasets. To achieve an efficient solution, HUIPMiner is augmented with a pruning strategy. Experimental results show that HUIPMiner is an effective solution to the problem of mining high utility inte作者: 消極詞匯 時間: 2025-3-24 06:13
https://doi.org/10.1007/978-1-4842-7927-4mentally prove our solution ensures a balanced data distribution, and hence workload, among machines. The key idea behind the algorithm is to evenly partition all possible triplets of vertices among machines, sending edges that may form a triangle to a proxy machine; this edge redistribution elimina作者: correspondent 時間: 2025-3-24 07:36 作者: 意外 時間: 2025-3-24 13:17 作者: Amorous 時間: 2025-3-24 18:31 作者: 招募 時間: 2025-3-24 20:08
Cyber-Physical Systems Project,sent the time series. E-SAX has exactly the same simplicity and efficiency of the original SAX, yet it gives better results in time series classification than the original SAX, as we show in extensive experiments on a variety of time series datasets.作者: Aprope 時間: 2025-3-25 00:42
Reverse Engineering Approach for NoSQL Databasesaper, we aim to extend this work to achieve a reverse engineering of NoSQL databases in order to provide an element of semantic knowledge close to human understanding. The reverse engineering process is ensured by a set of transformation algorithms. We provide experiments of our approach using a case study taken from the medical field.作者: 樸素 時間: 2025-3-25 06:06 作者: saphenous-vein 時間: 2025-3-25 08:24 作者: glacial 時間: 2025-3-25 15:41 作者: 貿(mào)易 時間: 2025-3-25 18:54
0302-9743 held online in September 2020...?..The 15 full papers presented together with 14 short papers plus 1 position paper in this volume were carefully reviewed and selected from a total of 77 submissions. ..?..This volume offers a wide range to following subjects on theoretical and practical aspects of b作者: 現(xiàn)存 時間: 2025-3-25 22:35 作者: Anonymous 時間: 2025-3-26 00:41 作者: 包庇 時間: 2025-3-26 07:19
https://doi.org/10.1007/978-1-4842-5623-7-depth explanation of the functionalities of the proposed tool. Furthermore, we compare the capabilities of the tool with one of the leading association rule mining tools, i.e., RapidMiner. Moreover, the study delves into the motivation of grand reports and offers some useful insight into their theoretical foundation.作者: 悄悄移動 時間: 2025-3-26 08:39 作者: 斜 時間: 2025-3-26 12:57 作者: 厚臉皮 時間: 2025-3-26 17:33
Introducing Blockchain with Lispnships are considered together with three prediction mechanisms. The results demonstrate that by considering the relationships between time series, by combining a number of popular causal and correlation identification mechanisms, more accurate SDG forecast predictions can be made.作者: 機(jī)械 時間: 2025-3-27 00:21
Grand Reports: A Tool for Generalizing Association Rule Mining to Numeric Target Values-depth explanation of the functionalities of the proposed tool. Furthermore, we compare the capabilities of the tool with one of the leading association rule mining tools, i.e., RapidMiner. Moreover, the study delves into the motivation of grand reports and offers some useful insight into their theoretical foundation.作者: Mirage 時間: 2025-3-27 02:53
Expected vs. Unexpected: Selecting Right Measures of Interestingnesshe research on selecting useful measures of interestingness according to their roles will not only help to decide on optimal measures of interestingness, but can also be a key factor in proposing new measures of interestingness in association rule mining.作者: recede 時間: 2025-3-27 07:46 作者: 車床 時間: 2025-3-27 09:41
Sustainable Development Goal Relational Modelling: Introducing the SDG-CAP Methodologynships are considered together with three prediction mechanisms. The results demonstrate that by considering the relationships between time series, by combining a number of popular causal and correlation identification mechanisms, more accurate SDG forecast predictions can be made.作者: 種屬關(guān)系 時間: 2025-3-27 15:21 作者: Cognizance 時間: 2025-3-27 18:24
DHE,: Distributed Hybrid Evolution Engine for Performance Optimizations of Computationally Intensive, a mechanism for generating approximate solutions must be adopted. Genetic Algorithms, a subclass of Evolutionary Algorithms, represent one of the widely used methods of finding and approximating useful solutions to hard problems. Due to their population-based logic and iterative behaviour, Evoluti作者: Foment 時間: 2025-3-28 00:22 作者: endoscopy 時間: 2025-3-28 03:13
Expected vs. Unexpected: Selecting Right Measures of Interestingnessof the classical measures (support, confidence and lift), over 40 different measures have been published in the literature. Out of the large variety of proposed measures, it is very difficult to select the appropriate measures in a concrete decision support scenario. In this paper, based on the dive作者: Fluctuate 時間: 2025-3-28 06:17
SONDER: A Data-Driven Methodology for Designing Net-Zero Energy Public Buildingse than 1/3 of final global energy consumption and contributes to nearly 1/4 of greenhouse gas emissions worldwide. .eating, .entilation, and .ir-.onditioning (HVAC) systems are major energy consumers and responsible for about 18% of all building energy use. To reduce this huge amount of energy, the 作者: nocturnal 時間: 2025-3-28 10:57 作者: 北京人起源 時間: 2025-3-28 16:09 作者: 抱狗不敢前 時間: 2025-3-28 22:16 作者: single 時間: 2025-3-28 23:43
High-Utility Interval-Based Sequencesdered point-based data where events occur instantaneously. However, in many application domains, events persist over intervals of time of varying lengths. Furthermore, traditional frameworks for sequential pattern mining assume all events have the same weight or utility. This simplifying assumption 作者: 助記 時間: 2025-3-29 03:20
Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification high dimensional, dimensionality reduction techniques have been proposed as an efficient approach to lower their dimensionality. One of the most popular dimensionality reduction techniques of time series data is the Symbolic Aggregate Approximation (SAX), which is inspired by algorithms from text m作者: 鞭子 時間: 2025-3-29 08:23 作者: 技術(shù) 時間: 2025-3-29 13:05 作者: ARBOR 時間: 2025-3-29 17:59 作者: 策略 時間: 2025-3-29 21:11
Mining Attribute Evolution Rules in Dynamic Attributed Graphsfound in numerous domains, e.g., social network analysis. Several studies have been done on discovering patterns in dynamic attributed graphs to reveal how attribute(s) change over time. However, many algorithms restrict all attribute values in a pattern to follow the same trend (e.g. increase) and 作者: radiograph 時間: 2025-3-30 02:51
Sustainable Development Goal Relational Modelling: Introducing the SDG-CAP Methodologysideration the potential relationships between time series associated with individual SDGs, unlike previous work where an independence assumption was made. The challenge is in identifying the existence of relationships and then using these relationships to make SDG attainment predictions. To this en作者: 可商量 時間: 2025-3-30 07:30
https://doi.org/10.1007/978-3-030-59065-9artificial intelligence; association rules; big data; clustering algorithms; computer hardware; computer 作者: PAGAN 時間: 2025-3-30 09:11
978-3-030-59064-2Springer Nature Switzerland AG 2020作者: 蛙鳴聲 時間: 2025-3-30 14:34 作者: VOK 時間: 2025-3-30 16:34
Programming with .NET for Apache Spark researchers and practitioners in the field of data warehousing and knowledge discovery. This study has quantitatively analyzed the 775 papers published in DaWaK from 1999 to 2019. This study presents the knowledge structure of the DaWaK papers and identifies the evolution of research topics in this作者: HARP 時間: 2025-3-30 21:21
https://doi.org/10.1007/978-1-4842-5623-7, a mechanism for generating approximate solutions must be adopted. Genetic Algorithms, a subclass of Evolutionary Algorithms, represent one of the widely used methods of finding and approximating useful solutions to hard problems. Due to their population-based logic and iterative behaviour, Evoluti作者: 仔細(xì)閱讀 時間: 2025-3-31 01:01 作者: 寬容 時間: 2025-3-31 06:00
Introducing ArcGIS API 4 for JavaScriptof the classical measures (support, confidence and lift), over 40 different measures have been published in the literature. Out of the large variety of proposed measures, it is very difficult to select the appropriate measures in a concrete decision support scenario. In this paper, based on the dive作者: ASTER 時間: 2025-3-31 12:40
Introducing ArcGIS API 4 for JavaScripte than 1/3 of final global energy consumption and contributes to nearly 1/4 of greenhouse gas emissions worldwide. .eating, .entilation, and .ir-.onditioning (HVAC) systems are major energy consumers and responsible for about 18% of all building energy use. To reduce this huge amount of energy, the 作者: 猛然一拉 時間: 2025-3-31 16:24
Creating Textures and Tiles in Peacock,the property “schema less” which means absence of the data model when creating a database. This property offers an undeniable flexibility allowing the user to add new data without making any changes on the data model. However, the lack of an explicit data model makes it difficult to express queries
