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Nick Roussopoulos, Chungmin Melvin Chen, Stephen Kelley, Alex Delis, and Yannis Papakonstantinou. "The ADMS Project: Views R Us". Data Engineering Bulletin, 18(2):19--28, June 1995.

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Scalable Visual Hierarchy Exploration - Stroe, Rundensteiner, Ward (2000)   (Correct)

....together is identified with the query that generated it is called semantic caching [4] or predicate caching [11] Our buffer management requirements are similar to those present in semantic cashing. Other work in the area of object level caching for database applications have been addressed in [3, 13]. 7 Conclusions With the increasing amount of data being accumulated nowadays, the need for visually exploring large datasets becomes imperative. A viable way to achieve scalability in visualization is to integrate visualization applications with database management systems. Such integrations ....

N. Roussopoulos, C.-M. Chen, S. Kelley, A. Delis, and Y. Papakonstantinou. The ADMS project: View R us. Data Engineering Bulletin, 18(2):19--28, 1995.


Scalable Visual Hierarchy Exploration - Stroe, Rundensteiner, Ward (2000)   (Correct)

....the parameters of the active window. In our system however only one query is required at a time, thus further influencing the strategy used for preventing duplicate entries in the buffer. Other work in the area of object level caching for database applications have been addressed for example in [5, 24]. Due to not needing to fully consider caching, our buffer management strategy is simple, yet efficient not requiring any unnecessary data accesses. 7 Conclusions and Future Work With the increasing amount of data being accumulated nowadays, the need for visually exploring large datasets ....

N. Roussopoulos, C.-M. Chen, S. Kelley, A. Delis, and Y. Papakonstantinou. The ADMS project: View R us. Data Engineering Bulletin, 18(2):19--28, 1995. 26


Performance Analysis of Associative Caching Schemes for.. - Basu, Pöss, Keller (1998)   (Correct)

....environments is reported in [17] However, it does not address the important issue of cache maintenance when there are database updates. Evaluation of queries from locally stored views is supported in the ADMS Sigma system, which uses the ViewCache technique and incremental access methods [16]. A simulation study [7] examined the performance of this and related schemes. One major difference in A Cache is that its update propagation scheme is based on asynchronous notification of committed updates, instead of ondemand lookup of server update logs. Additionally, the concurrency control ....

N. Roussopoulos, C.M. Chen, S. Kelly, "The ADMS Project: Views R Us," IEEE Data Engineering Bulletin, Vol. 18, No. 2, June 1995.


Degrees of Transaction Isolation in SQL*Cache: A.. - Basu, Keller (1996)   (2 citations)  (Correct)

....some irrelevant notifications, but is guaranteed to receive all relevant ones. 3 Related Work A client side caching scheme related to SQL Cache is the ViewCache technique employed in the ADMS Sigma system, which uses the notions of extended logical access path and incremental access methods [18, 19]. One major difference of SQL Cache with ADMS Sigma is that our update propagation scheme is based on notifications of committed updates instead of server update logs. Additionally, the important issues of transaction isolation and consistency are not addressed by the ADMS Sigma system. A caching ....

N. Roussopoulos, C.M. Chen, S. Kelly, "The ADMS Project: Views R Us," IEEE Data Engineering Bulletin, Vol. 18, No. 2, June 1995, pp. 19-28.


Performance Analysis of an Associative Caching Scheme for.. - Basu, Pöss, Keller (1997)   (Correct)

....environments is reported in [16] The important issue of cache maintenance when there are database updates is not examined in these papers. Evaluation of queries from locally stored views is supported in the ADMS Sigma system, which uses the ViewCache technique and incremental access methods [15]. A simulation study [4] examined the performance of this and related schemes. One major difference in A Cache is that its update propagation scheme is based on asynchronous notification of committed updates, instead of ondemand lookup of server update logs. Additionally, the concurrency control ....

N. Roussopoulos, C.M. Chen, S. Kelly, "The ADMS Project: Views R Us," IEEE Data Engineering Bulletin, Vol. 18, No. 2, June 1995.


Online View Selection for the Web - Labrinidis, Roussopoulos (2002)   Self-citation (Roussopoulos)   (Correct)

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Nick Roussopoulos, Chungmin Melvin Chen, Stephen Kelley, Alex Delis, and Yannis Papakonstantinou. "The ADMS Project: Views R Us". Data Engineering Bulletin, 18(2):19--28, June 1995.


Reduction of Materialized View Staleness Using Online Updates - Labrinidis, Roussopoulos (1998)   (2 citations)  Self-citation (Roussopoulos)   (Correct)

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Nick Roussopoulos, Chungmin Melvin Chen, Stephen Kelley, Alex Delis, and Yannis Papakonstantinou. "The ADMS Project: Views R Us". Data Engineering Bulletin,18(2):19--28, June 1995.


The View Holder Approach: Utilizing Customized Materialized Views .. - Lauzac (2001)   (Correct)

No context found.

N. Roussopoulos, C. M. Chen, S. Kelley, A. Delis, and Y. Papakonstantinou. The ADMS Project: Views R Us. IEEE Data Engineering Bulletin, 18(2):19-- 28, Jun. 1995.


Cache Investment for Indexes - Drasch, Kossmann, Franklin (1998)   (Correct)

No context found.

N. Roussopoulos, C. Chen, S. Kelley, A. Delis, and Y. Papakonstantinou. The ADMS Project: Views r us. IEEE Data Engeneering Bulletin, 18(2):19--28, June 1995.

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