標(biāo)題: Titlebook: Data Warehousing and Knowledge Discovery; 13th International C Alfredo Cuzzocrea,Umeshwar Dayal Conference proceedings 2011 Springer-Verlag [打印本頁] 作者: lexicographer 時(shí)間: 2025-3-21 20:09
書目名稱Data Warehousing and Knowledge Discovery影響因子(影響力)
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書目名稱Data Warehousing and Knowledge Discovery年度引用學(xué)科排名
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書目名稱Data Warehousing and Knowledge Discovery讀者反饋學(xué)科排名
作者: Culpable 時(shí)間: 2025-3-21 21:16 作者: MEAN 時(shí)間: 2025-3-22 01:52 作者: PALSY 時(shí)間: 2025-3-22 05:26
OLAP Formulations for Supporting Complex Spatial Objects in Data Warehousesd other domains. Data warehouses help in modeling and mining large amounts of data from heterogeneous sources over an extended period of time. However incorporating spatial data into data warehouses leads to several challenges in data modeling, management and the mining of spatial information. New m作者: 單調(diào)性 時(shí)間: 2025-3-22 11:39
Multidimensional Database Design from Document-Centric XML Documentshese documents are loosely structured XML documents mainly composed of text. This paper details conceptual design steps of multidimensional databases from such documents. With the use of an adapted multidimensional conceptual model, the design process allows the integration of data extracted from te作者: 可用 時(shí)間: 2025-3-22 16:12 作者: 可用 時(shí)間: 2025-3-22 18:54
: Requirement-Driven Generation of ETL and Multidimensional Conceptual Designsan appropriate conceptual, multidimensional design. Typically, this task is performed manually, through a series of interviews involving two different parties: the business analysts and technical designers. Producing an appropriate conceptual design is an error-prone task that undergoes several roun作者: 格言 時(shí)間: 2025-3-23 00:55 作者: fiction 時(shí)間: 2025-3-23 05:09
Complementing Data in the ETL Process, known as ETL (Extraction, Transformation, and Load), usually takes care of improving the data quality. However, it is not unusual to identify null values in a DW fact table during the ETL process, and this may impact negatively on the accuracy of data analyses results. Data imputation1 techniques 作者: CEDE 時(shí)間: 2025-3-23 07:57 作者: 圓錐 時(shí)間: 2025-3-23 12:40 作者: CERE 時(shí)間: 2025-3-23 14:31 作者: bibliophile 時(shí)間: 2025-3-23 21:26 作者: MIRE 時(shí)間: 2025-3-24 01:50 作者: 袖章 時(shí)間: 2025-3-24 04:33
Vertical Fragmentation of XML Data Warehouses Using Frequent Path Setsk has been done on XML warehouses. In this paper, we address the problem of vertical fragmentation of XML Warehouses. We use Association Rules to partition and cluster frequent path sets into fragments. In addition, at the schema level, we address and solve the problem of reconstructing the original作者: 胎兒 時(shí)間: 2025-3-24 09:48 作者: ANN 時(shí)間: 2025-3-24 13:26 作者: concentrate 時(shí)間: 2025-3-24 16:54
Tagged MapReduce: Efficiently Computing Multi-analytics Using MapReducess creates (key, value) pairs, while the reduce phase aggregates same-key values. In other words, a MapReduce application defines and reduces one set of values for each key, which means that the user only knows .. of the .. Advanced OLAP applications however, require multiple sets to be defined and 作者: 無可爭辯 時(shí)間: 2025-3-24 21:43
Frequent Pattern Mining from Time-Fading Streams of Uncertain Datao the inherited limitation of the sensors, data in these streams can be uncertain. To discover useful knowledge in the form of frequent patterns from streams of uncertain data, a few algorithms have been developed. They mostly use the sliding window model for processing and mining data streams. Howe作者: 休息 時(shí)間: 2025-3-25 02:09 作者: 擔(dān)心 時(shí)間: 2025-3-25 04:08
Günter Enderle,Klaus Kansy,Günther Pfaffuctured data and (iv) coverage facts. The proposed enhancements, including a rebuilt generation algorithm, allow more accurate and broadening results than the original DTA. Throughout the paper, references are made to a real case study to which the improved DTA has been applied using two developed prototype tools.作者: 哀悼 時(shí)間: 2025-3-25 11:26
Günter Enderle,Klaus Kansy,Günther Pfaffgies to the peculiarities of data warehouse projects. The principles underlying 4WD are risk-based iteration, evolutionary and incremental prototyping, user involvement, component reuse, formal and light documentation, and automated schema transformation.作者: 谷類 時(shí)間: 2025-3-25 15:44
https://doi.org/10.1007/978-1-84882-470-6ed as a .. Then, we discuss how to . them in order to . (i.e., collapse) several SQL queries into a single characterization (representing the analytical session), according to their logical connections.作者: 五行打油詩 時(shí)間: 2025-3-25 17:28 作者: Acquired 時(shí)間: 2025-3-25 21:57 作者: 兇殘 時(shí)間: 2025-3-26 02:14
Modern Software Engineering Methodologies Meet Data Warehouse Design: 4WDgies to the peculiarities of data warehouse projects. The principles underlying 4WD are risk-based iteration, evolutionary and incremental prototyping, user involvement, component reuse, formal and light documentation, and automated schema transformation.作者: adduction 時(shí)間: 2025-3-26 06:16 作者: abstemious 時(shí)間: 2025-3-26 12:17 作者: opalescence 時(shí)間: 2025-3-26 13:44 作者: 泥土謙卑 時(shí)間: 2025-3-26 18:02 作者: Mucosa 時(shí)間: 2025-3-26 23:07 作者: 指派 時(shí)間: 2025-3-27 04:16
Computer Graphics and Geometric Modeling OLAP-aware DBMS prototype. Experimental results clearly demonstrate the potential of the new algebra-driven system relative to both the un-optimized prototype and a pair of popular enterprise servers.作者: hermitage 時(shí)間: 2025-3-27 07:19 作者: Aboveboard 時(shí)間: 2025-3-27 12:13 作者: 外形 時(shí)間: 2025-3-27 16:49
Efficient Processing of Drill-across Queries over Geographic Data Warehousesl-across SOLAP queries, as follows: star-join computation, materialized views and a new proposed approach based on the SB-index, which is named .. We conclude that the . approach highly speedups the processing of drill-across SOLAP queries from 39% up to 98%.作者: dainty 時(shí)間: 2025-3-27 20:37 作者: Palliation 時(shí)間: 2025-3-28 00:49 作者: obscurity 時(shí)間: 2025-3-28 05:24 作者: Tracheotomy 時(shí)間: 2025-3-28 09:11 作者: 躺下殘殺 時(shí)間: 2025-3-28 13:27 作者: flimsy 時(shí)間: 2025-3-28 17:29 作者: exceptional 時(shí)間: 2025-3-28 21:57 作者: 兩種語言 時(shí)間: 2025-3-29 01:23
Multidimensional Database Design from Document-Centric XML Documentsfrom such documents. With the use of an adapted multidimensional conceptual model, the design process allows the integration of data extracted from text-rich XML documents within an adapted OLAP system.作者: Density 時(shí)間: 2025-3-29 05:42
Conference proceedings 2011e organized in topical sections on physical and conceptual data warehouse models, data warehousing design methodologies and tools, data warehouse performance and optimization, pattern mining, matrix-based mining techniques and stream, sensor and time-series mining.作者: 音樂等 時(shí)間: 2025-3-29 09:41 作者: Fabric 時(shí)間: 2025-3-29 14:59 作者: Onerous 時(shí)間: 2025-3-29 15:59 作者: 小臼 時(shí)間: 2025-3-29 20:19
Isaac D. Scherson,Steven P. Puntealled ONE) that physically stores the whole star schema into a single relation, providing a predictable and scalable alternative to the star schema model. We use the TPC-H benchmark to evaluate ONE and the star schema model, assessing both the required storage size and query execution time.作者: Blanch 時(shí)間: 2025-3-30 00:56
Günter Enderle,Klaus Kansy,Günther Pfaff employs them as first class citizens in the data cube. Further, new OLAP constructs to help define, manipulate, query and analyze spatial data have also been presented. Overall, the aim of this paper is to leverage support for spatial data in OLAP cubes and pave the way for the development of a use作者: Catheter 時(shí)間: 2025-3-30 05:48 作者: lactic 時(shí)間: 2025-3-30 08:34
Main Concepts of the Graphical Kernel Systemiciently processing different types of dimensions. The paper describes the integration of ETLMR with a MapReduce framework and evaluates its performance on large realistic data sets. The experimental results show that ETLMR achieves very good scalability and compares favourably with other MapReduce 作者: 過份艷麗 時(shí)間: 2025-3-30 15:01
Computer Graphics and Geometric Modelingvides very fast query processing. In our work we show how it is possible to use this massive data ordering/sorting in order to optimize queries for high speed, even without the use of data compression (therefore also avoiding compression/decompression overheads). We dedicate our attention to sort co作者: Ethics 時(shí)間: 2025-3-30 18:54
Computer Graphics for Artists IIion results prove that our vertical splitting scheme can reduce retrieval I/O cost, while expanding the required logical address space to store large scale multidimensional datasets. Our method far outperforms PostgreSQL and is fairly better than UB tree in retrieval time. The splitting causes incre作者: accessory 時(shí)間: 2025-3-30 23:08
Computer Graphics for Artists IIhe page type is represented by the tag. While the classic MapReduce can handle this class of queries, it requires effort and possibly advanced programming skills for efficient implementations. For example, should the tag form a compound object with the key or the value? Our formalism makes it simple作者: 明確 時(shí)間: 2025-3-31 01:17
ONE: A Predictable and Scalable DW Modelalled ONE) that physically stores the whole star schema into a single relation, providing a predictable and scalable alternative to the star schema model. We use the TPC-H benchmark to evaluate ONE and the star schema model, assessing both the required storage size and query execution time.作者: Canvas 時(shí)間: 2025-3-31 08:51
OLAP Formulations for Supporting Complex Spatial Objects in Data Warehouses employs them as first class citizens in the data cube. Further, new OLAP constructs to help define, manipulate, query and analyze spatial data have also been presented. Overall, the aim of this paper is to leverage support for spatial data in OLAP cubes and pave the way for the development of a use作者: 一夫一妻制 時(shí)間: 2025-3-31 11:47 作者: Bouquet 時(shí)間: 2025-3-31 16:32 作者: Contend 時(shí)間: 2025-3-31 20:14
VarDB: High-Performance Warehouse Processing with Massive Ordering and Binary Searchvides very fast query processing. In our work we show how it is possible to use this massive data ordering/sorting in order to optimize queries for high speed, even without the use of data compression (therefore also avoiding compression/decompression overheads). We dedicate our attention to sort co作者: Choreography 時(shí)間: 2025-4-1 01:14
Implementing Vertical Splitting for Large Scale Multidimensional Datasets and Its Evaluationsion results prove that our vertical splitting scheme can reduce retrieval I/O cost, while expanding the required logical address space to store large scale multidimensional datasets. Our method far outperforms PostgreSQL and is fairly better than UB tree in retrieval time. The splitting causes incre作者: 放牧 時(shí)間: 2025-4-1 05:26 作者: Facet-Joints 時(shí)間: 2025-4-1 09:24 作者: 責(zé)怪 時(shí)間: 2025-4-1 10:32 作者: Forage飼料 時(shí)間: 2025-4-1 17:17 作者: Stagger 時(shí)間: 2025-4-1 21:29
