標(biāo)題: Titlebook: Data Warehousing and Knowledge Discovery; 14th International C Alfredo Cuzzocrea,Umeshwar Dayal Conference proceedings 2012 Springer-Verlag [打印本頁] 作者: SCOWL 時(shí)間: 2025-3-21 17:31
書目名稱Data Warehousing and Knowledge Discovery影響因子(影響力)
書目名稱Data Warehousing and Knowledge Discovery影響因子(影響力)學(xué)科排名
書目名稱Data Warehousing and Knowledge Discovery網(wǎng)絡(luò)公開度
書目名稱Data Warehousing and Knowledge Discovery網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Warehousing and Knowledge Discovery被引頻次
書目名稱Data Warehousing and Knowledge Discovery被引頻次學(xué)科排名
書目名稱Data Warehousing and Knowledge Discovery年度引用
書目名稱Data Warehousing and Knowledge Discovery年度引用學(xué)科排名
書目名稱Data Warehousing and Knowledge Discovery讀者反饋
書目名稱Data Warehousing and Knowledge Discovery讀者反饋學(xué)科排名
作者: 漫不經(jīng)心 時(shí)間: 2025-3-21 23:33
https://doi.org/10.1007/978-3-642-32584-7Web mining; cloud computing; data semantics; decision support; social networks作者: Pcos971 時(shí)間: 2025-3-22 00:37 作者: agonist 時(shí)間: 2025-3-22 06:48
Generation of Human Motion with Emotionrom the sources to a common repository. New applications, like for example, real-time data warehousing, require agile and flexible tools that allow BI users to take timely decisions based on extremely up-to-date data. This calls for new ETL tools able to adapt to constant changes and quickly produce作者: 改正 時(shí)間: 2025-3-22 09:13 作者: cleaver 時(shí)間: 2025-3-22 13:50
https://doi.org/10.1007/978-4-431-66890-9ations), and include a sprint planning phase that is critical to ensure the project success. Several factors impact on the optimality of a sprint plan, e.g., the estimated complexity, business value, and affinity of the elemental functionalities included in each sprint, which makes the planning prob作者: cleaver 時(shí)間: 2025-3-22 20:12 作者: nephritis 時(shí)間: 2025-3-22 22:12
Dan Lu,Shuang Zhang,Yingnan Zhao,Qilong Hanodel-Driven Architecture (MDA) to DW development. However, most of these approaches are not evaluated in practice. Therefore, we conducted an evaluation of the Multidimensional Model-Driven Architecture (MD2A), based on a case study derived from a real-world DW project. The case study results can be作者: 皺痕 時(shí)間: 2025-3-23 01:53
https://doi.org/10.1007/978-981-99-8761-0g a DW system from a set of information sources is realized with extract-transform-load (ETL) processes based?on SLAs and BLOs. The entire task is complex, time consuming, and hard to be?performed manually. This paper presents our approach to the requirement-driven creation of ETL designs. Each requ作者: 鬼魂 時(shí)間: 2025-3-23 09:29
Yipan Liu,Song Wang,Shijie Chen from data cubes. In this paper, we develop a scheme that does the reverse transformation, automatically, so that one may produce charts directly from multi-dimensional tables using standard OLAP data visualization tools. In the process, we develop several new techniques for table processing: (i) ex作者: arsenal 時(shí)間: 2025-3-23 13:37 作者: AMOR 時(shí)間: 2025-3-23 16:23 作者: 聯(lián)想 時(shí)間: 2025-3-23 18:33
J. Nielsen,K. Nikolajsen,J. Villadsend navigate into a multidimensional structure of precomputed measures, which is referred to as a.. Though, OLAP is poorly equipped for forecasting and predicting empty measures of data cubes. Usually, empty measures translate inexistent facts in the DW and in most cases are a source of frustration fo作者: ADOPT 時(shí)間: 2025-3-24 00:32 作者: MIME 時(shí)間: 2025-3-24 05:56 作者: anaerobic 時(shí)間: 2025-3-24 08:46
M. Banta,M. M?ntyl?,M. Inuit,F. Kimurae a significant impact on the warehouse performance. This interaction has been largely exploited in solving isolated problems like (i) the multiple-query optimization, (ii) the materialized view selection, (iii) the buffer management, (iv) the query scheduling, etc. Recently, some research efforts s作者: 鉤針織物 時(shí)間: 2025-3-24 13:40
M. Banta,M. M?ntyl?,M. Inuit,F. Kimura. cuboids. To build ROLAP(Relational OLAP) data cubes efficiently, existing algorithms (e.g., GBLP, PipeSort, PipeHash, BUC, etc) use several strategies sharing sort cost and input data scan, reducing data computation, and utilizing parallel processing techniques. On the other hand, MapReduce is rec作者: 博愛家 時(shí)間: 2025-3-24 15:29 作者: modish 時(shí)間: 2025-3-24 22:52
Susumu Furukawa,Shinji Mukap,Mitsuru Kurodaressing incremental update problem generally propose incremental itemset mining methods based on Apriori and FP-Growth algorithms. Besides inheriting the disadvantages of base algorithms, incremental itemset mining has challenges such as handling i) increments without re-running the algorithm, ii) s作者: 可轉(zhuǎn)變 時(shí)間: 2025-3-25 01:47 作者: SLUMP 時(shí)間: 2025-3-25 05:41
Linking multiple tools: a chinese casen splitting test for obtaining a global optimal model. Incremental tree induction constructs a decision model by analyzing data in short segments; during each segment a local optimal tree structure is formed. Very Fast Decision Tree [4] is a typical incremental tree induction based on the principle 作者: 徹底明白 時(shí)間: 2025-3-25 09:28
https://doi.org/10.1007/978-1-4020-4387-1preference querying facilities in database systems. One important step in this setting is the . task which consists in providing the user ways to inform his/her choice on pairs of objects with a minimal effort. In this paper we propose an automatic preference elicitation method based on mining techn作者: 演講 時(shí)間: 2025-3-25 12:03 作者: gene-therapy 時(shí)間: 2025-3-25 19:12 作者: mitral-valve 時(shí)間: 2025-3-25 22:47 作者: 過于平凡 時(shí)間: 2025-3-26 01:31 作者: 可忽略 時(shí)間: 2025-3-26 04:38 作者: arboretum 時(shí)間: 2025-3-26 11:06 作者: Anticlimax 時(shí)間: 2025-3-26 14:50 作者: 違法事實(shí) 時(shí)間: 2025-3-26 16:54
Integrating ETL Processes from Information Requirementsand creating an ETL design that satisfies all given requirements. Finally, the design produced is sent to an ETL engine for execution. We illustrate our approach through an example based on TPC-H and report on our experimental findings that show the effectiveness and quality of our approach.作者: evanescent 時(shí)間: 2025-3-26 21:40 作者: 粗糙濫制 時(shí)間: 2025-3-27 01:45
Warehousing Manufacturing Dataas central part of the overall Advanced Manufacturing Analytics Platform. We define a manufacturing process meta model and deduce a universal warehouse model. In addition, we develop a procedure for its instantiation and the integration of concrete source data. Finally, we describe a first proof of concept based on a prototypical implementation.作者: Occipital-Lobe 時(shí)間: 2025-3-27 07:48 作者: BOOR 時(shí)間: 2025-3-27 11:43
Mining Contextual Preference Rules for Building User Profileserence rules verifying properties of soundness and conciseness. We evaluate the efficacy of the proposed method in a series of experiments executed on a real-world database of user preferences about movies.作者: 擴(kuò)音器 時(shí)間: 2025-3-27 17:37 作者: 食草 時(shí)間: 2025-3-27 18:36
0302-9743 mization, data mining and knowledge discovery techniques, data mining and knowledge discovery applications, pattern mining, data stream mining, data warehouse confidentiality and security, and distributed paradigms and algorithms.978-3-642-32583-0978-3-642-32584-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: antidote 時(shí)間: 2025-3-28 00:12
Generation of Human Motion with Emotionndard representation mechanism denoted BPMN (Business Process Modeling and Notation). In this paper we present a BPMN-based metamodel for conceptual modeling of ETL processes. This metamodel is based on a classification of ETL objects resulting from a study of the most used commercial and open source ETL tools.作者: Perineum 時(shí)間: 2025-3-28 04:44 作者: cluster 時(shí)間: 2025-3-28 07:21
https://doi.org/10.1007/978-4-431-66890-9erted into a multi-knapsack problem with constraints, given a linear programming formulation, and solved using the IBM ILOG CPLEX Optimizer. Finally, the proposed approach is validated through effectiveness and efficiency tests.作者: eucalyptus 時(shí)間: 2025-3-28 13:13
https://doi.org/10.1007/978-4-431-66890-9del for the ETL workflow and a set of Query/View/Transformation(QVT) mapping rules from the conceptual level to the logical level and then to the physical one. At the end, we describe the implemented prototype architecture.作者: 易于交談 時(shí)間: 2025-3-28 15:45 作者: meritorious 時(shí)間: 2025-3-28 21:00
Susumu Furukawa,Shinji Mukap,Mitsuru Kurodaements. The base algorithm Matrix Apriori works without candidate generation, scans database only twice and brings additional advantages. Performance studies show that Incremental Matrix Apriori provides speed-up between 41% and 92% while increment size is varied between 5% and 100%.作者: 不妥協(xié) 時(shí)間: 2025-3-29 02:22 作者: Serenity 時(shí)間: 2025-3-29 04:02
Enhancing Coverage and Expressive Power of Spatial Data Warehousing Modeling: The SDWM Approachtiatives, by pinpointing their limitations. We complete our analytical contribution by means of a real-life application implemented via SDWM, which highlights the benefits deriving from applying SDWM in contrast with traditional SDW modeling methodologies.作者: Nefarious 時(shí)間: 2025-3-29 09:41
Sprint Planning Optimization in Agile Data Warehouse Designerted into a multi-knapsack problem with constraints, given a linear programming formulation, and solved using the IBM ILOG CPLEX Optimizer. Finally, the proposed approach is validated through effectiveness and efficiency tests.作者: 報(bào)復(fù) 時(shí)間: 2025-3-29 13:25
Using OCL for Automatically Producing Multidimensional Models and ETL Processesdel for the ETL workflow and a set of Query/View/Transformation(QVT) mapping rules from the conceptual level to the logical level and then to the physical one. At the end, we describe the implemented prototype architecture.作者: glowing 時(shí)間: 2025-3-29 19:30 作者: ARM 時(shí)間: 2025-3-29 23:38 作者: Neolithic 時(shí)間: 2025-3-30 00:01
0302-9743 rnational Conference on Data Warehousing and Knowledge Discovery, DaWaK 2012 held in Vienna, Austria, in September 2012. The 36 revised full papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in topical sections on data warehouse design methodologies,作者: PAGAN 時(shí)間: 2025-3-30 06:36 作者: EVEN 時(shí)間: 2025-3-30 11:32
Conference proceedings 2012ehouse and OLAP extensions, data warehouse performance and optimization, data mining and knowledge discovery techniques, data mining and knowledge discovery applications, pattern mining, data stream mining, data warehouse confidentiality and security, and distributed paradigms and algorithms.作者: 漸變 時(shí)間: 2025-3-30 14:00 作者: 結(jié)合 時(shí)間: 2025-3-30 18:02
BPMN-Based Conceptual Modeling of ETL Processesrom the sources to a common repository. New applications, like for example, real-time data warehousing, require agile and flexible tools that allow BI users to take timely decisions based on extremely up-to-date data. This calls for new ETL tools able to adapt to constant changes and quickly produce作者: epicondylitis 時(shí)間: 2025-3-30 20:46 作者: lesion 時(shí)間: 2025-3-31 03:30
Sprint Planning Optimization in Agile Data Warehouse Designations), and include a sprint planning phase that is critical to ensure the project success. Several factors impact on the optimality of a sprint plan, e.g., the estimated complexity, business value, and affinity of the elemental functionalities included in each sprint, which makes the planning prob作者: eulogize 時(shí)間: 2025-3-31 06:32 作者: parallelism 時(shí)間: 2025-3-31 09:53
A Case Study on Model-Driven Data Warehouse Developmentodel-Driven Architecture (MDA) to DW development. However, most of these approaches are not evaluated in practice. Therefore, we conducted an evaluation of the Multidimensional Model-Driven Architecture (MD2A), based on a case study derived from a real-world DW project. The case study results can be作者: palliate 時(shí)間: 2025-3-31 14:38
Integrating ETL Processes from Information Requirementsg a DW system from a set of information sources is realized with extract-transform-load (ETL) processes based?on SLAs and BLOs. The entire task is complex, time consuming, and hard to be?performed manually. This paper presents our approach to the requirement-driven creation of ETL designs. Each requ作者: OWL 時(shí)間: 2025-3-31 19:15
Automatic Transformation of Multi-dimensional Web Tables into Data Cubes from data cubes. In this paper, we develop a scheme that does the reverse transformation, automatically, so that one may produce charts directly from multi-dimensional tables using standard OLAP data visualization tools. In the process, we develop several new techniques for table processing: (i) ex作者: 鄙視 時(shí)間: 2025-3-31 22:52 作者: Mawkish 時(shí)間: 2025-4-1 04:57
Genetic Algorithms-Based Symbolic Aggregate Approximationre managed by using representation methods. Symbolic representation has attracted particular attention because of the possibility it offers to benefit from algorithms and techniques of other fields in computer science. The symbolic aggregate approximation method (SAX) is one of the most important sy作者: 華而不實(shí) 時(shí)間: 2025-4-1 08:41 作者: 整頓 時(shí)間: 2025-4-1 10:09
Mobile Activity Recognition Using Ubiquitous Data Stream Miningy’s smart phones and other wearable sensors. The state of the art in mobile activity recognition research has focused on traditional classification learning techniques. In this paper, we propose the Mobile Activity Recognition System (MARS) where for the first time the classifier is built on-board t作者: Terminal 時(shí)間: 2025-4-1 15:34
