M. Stonebraker, R. Agrawal, U. Dayal, E. J. Neuhold, and A. Reuter. DBMS research at a crossroads: The vienna update. In Proc. of the 19th VLDB Conference, pages 688--692, Dublin, Ireland, 1993.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....to information management, query processing, decision making, process control and many other applications. Therefore, knowledge discovery in databases (or data mining) has been considered as one of the most important research topics in 1990s by both machine learning and database researchers [17, 20]. There are different philosophical considerations on knowledge discovery in databases (KDD) 5, 23] which may lead to different methodologies in the development of KDD techniques [5, 11, 6, 18, 1, 21, 22, 23] In our previous studies [2, 7, 8] an attribute oriented induction method has been ....

M. Stonebraker, R. Agrawal, U. Dayal, E. Neuhold, and A. Reuter. DBMS research at a crossroads: The vienna update. In Proc. 19th Int. Conf. Very Large Data Bases, pages 688-692, Dublin, Ireland, Aug. 1993.

....topic for future research. In April 1993, a similar gathering of 5 researchers in Vienna reiterated their interest in interfaces but they lamented that progress in this area 2 continues to be done by industry, and the research community has very little impact on this important topic [Stonebraker 93a] While database systems have been slow to attract the attention of mainstream HCI researchers, the development of database system technology has nevertheless spawned several innovative user interfaces. For example, relational DBMSs provide, through their declarative query languages, a ....

....Seehelm model. We believe that, far from showing that database systems are behind main stream UIMS research in this respect, it merely illustrates that DBMSs conform more closely to the abstract model of an underlying application implicit in the Seeheim model. The Way Forward Stonebraker s [Stonebraker 93a] fears notwithstanding, a brief glance at the reference section of this paper which is not intended as a comprehensive survey of the field but rather an indication of trends shows a substantial amount of work being carried out in this area. The question we attempt to address here is how to ....

Stonebraker, M., Agrawal, R., Dayal, U., Neuhold, E.J., and Reuter, A.: "DBMS Research at a Crossroads: The Vienna Update", Proc VLDB 93, Dublin, August 1993 - 45 -

.... Data Modelling System (CDMS) has been created as a prototype system in which user interaction facilities (UIFs) can be configured [14] CDMS tackles the problem that whereas DBMS are designed for a wide range of user, the user interfaces provided are few in number and often poor in quality [15]. CDMS provides a component which allows novel UIFs to be created without recourse to repetitive low level programming. To this end CDMS allows the configuration of UIFs, where each UIF consists of a conceptual model tied to a concrete user interface. The conceptual model is built as an ....

Stonebraker M, Agrawal R, Dayal U, Neuhold EJ, Reuter A. DBMS Research at a Crossroads: The Vienna Update. In: Proc. 19th International Conference on Very Large Databases, Dublin, 1993, pp 688-692

....were categorical (discrete) and most unordered. The target classes were 19 different disease conditions, very unevenly distributed among the classes. The third data set (IBM) was artificially generated from a synthetic data generation program pred created by IBM s QUEST data mining research group [78]. This program can generate data sets of any size for 55 different classification problems, each with two or four target classes. The nine inputs consist of six bounded real valued features and three categorical features, one of which is ordered. The problem domain of this dataset generator is ....

M. Stonebraker, R. Agrawal, U. Dayaland E.J. Neuhold, and A. Reuter. Dbms research at a crossroads: The vienna update. In 19th International Conference on Very Large Data Bases, 1993.

....Additional support was provided by the IBM Partnership Award, and by the IBM SUR equipment grant. Access to computing facilities was provided by AHPCRC, Minnesota Supercomputer Institute. See http: www.cs.umn.edu #han for other related papers. One of the important problems in data mining [SAD 93] is discovering association rules from databases of transactions, where each transaction contains a set of items. Several algorithms for finding association rules have been proposed. Most of the algorithms work on transaction data where each transaction contains a subset of items from the whole ....

M. Stonebraker, R. Agrawal, U. Dayal, E. J. Neuhold, and A. Reuter. DBMS research at a crossroads: The vienna update. In Proc. of the 19th VLDB Conference, pages 688--692, Dublin, Ireland, 1993. 3

....work in the Database Human Computer Interaction field. 1 Introduction In 1989, and again in 1993, Michael Stonebraker surveyed panels of database researchers about which research areas they considered promising, and also which areas they considered the least likely to produce significant results [1]. The panels conclusions were somewhat controversial because of their dismissal of several active research areas as unimportant. On the positive side, however, both panels chose user interfaces as the most promising area. This outcome indicates an awareness of the importance of ....

Stonebraker, M., et. al., DBMS Research at a Crossroads: The Vienna Update, Proceedings of the 19th VLDB Conference, Dublin, Ireland, 1993, pp. 688-692.

....results on these data sets show that CHAMELEON can discover natural clusters that many existing state of the art clustering algorithms fail to find. Keywords: Clustering, data mining, dynamic modeling, graph partitioning, k nearest neighbor graph. 1 Introduction Clustering in data mining [SAD 93, CHY96] is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized [JD88, KR90, PAS96, CHY96] These discovered clusters can be used to explain the characteristics of the underlying data distribution, and thus ....

M. Stonebraker, R. Agrawal, U. Dayal, E. J. Neuhold, and A. Reuter. DBMS research at a crossroads: The vienna update. In Proc. of the 19th VLDB Conference, pages 688--692, Dublin, Ireland, 1993.

....used globally [6] Despite these and other advances made in combining and storing heterogeneous and other large data sets, not enough personnel or automated tools are available to take full advantage of these data mines . Recently much work has been focused on developing automated mining tools [17] for databases based on well established theories that have their origin in the field of artificial intelligence such as Learning by Example [11] Knowledge Discovery or Database Mining is defined as the nontrivial extraction of implicit, previously unknown and potentially useful information ....

M. Stonebraker, R. Agrawal, U. Dayal, E. J. Neuhold and A. Reuter, DBMS Research at a Crossroads: The Vienna Update, Invited talks at VLDB 93.

....official endorsement should be inferred. Access to computing facilities was provided by AHPCRC, Minnesota Supercomputer Institute, Cray Research Inc. and NSF grant CDA 9414015. See http: www.cs.umn.edu #han for other related papers. 1 Introduction One of the important problems in data mining [SAD 93] is discovering association rules from databases of transactions, where each transaction contains a set of items. The most time consuming operation in this discovery process is the computation of the frequencies of the occurrence of subsets of items, also called candidates, in the database of ....

M. Stonebraker, R. Agrawal, U. Dayal, E. J. Neuhold, and A. Reuter. DBMS research at a crossroads: The vienna update. In Proc. of the 19th VLDB Conference, pages 688--692, Dublin, Ireland, 1993.

....Additional support was provided by the IBM Partnership Award, and by the IBM SUR equipment grant. Access to computing facilities was provided by AHPCRC, Minnesota Supercomputer Institute. See http: www.cs.umn.edu #han for other related papers. 1 Introduction Clustering in data mining [SAD 93, CHY96] is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized [CHY96] These discovered clusters are used to explain the characteristics of the data distribution. For example, in many business applications, ....

M. Stonebraker, R. Agrawal, U. Dayal, E. J. Neuhold, and A. Reuter. DBMS research at a crossroads: The vienna update. In Proc. of the 19th VLDB Conference, pages 688--692, Dublin, Ireland, 1993.

....demand for DBMS support. This results in a number of requirements to be fulfilled by next generation database technologies. In particular, next generation database technologies address nonstandard application domains by improvement and integration of new concepts for the major DBMS aspects [6] [20], 14] DBMS architecture: should be designed in such a way that it can easily accommodate various functional extensions. From an economic point of view, it is not practicable to construct several DBMSs with different capabilities from scratch over and over again. Extensible DBMSs try to ....

....mechanisms, or alternative storage structures, depending on the characteristics of different application domains. The construction of a completely new DBMS for different requirements of application domains can be avoided by providing a flexible base DBMS part that can be extended in different ways [20]. The development effort, i.e. the costs for a specially tailored DBMS can thus be drastically reduced. There have been some prototypes implemented for academic use, but there is no commercial system available today. Data modeling: comprises object oriented, deductive, temporal (history and ....

[Article contains additional citation context not shown here]

Stonebraker, M., Agrawal, R., Dayal, U., Neuhold, E., J., Reuter, A., "DBMS Research at a Crossroads: the Vienna Update", Proc. 19th IEEE VLDB Int. Conf., Dublin, Ireland, 1993, pp. 688-692

....PESTO has been to provide a similarly friendly browsing interface, and to augment this interface with an equally natural paradigm for integrating querying and query refinement with browsing. 2. 2 Related Research In general, user interfaces have been neglected as a database research topic [Ston89, Ston93]. Still, a body of work exists in this area; a comprehensive survey and taxonomy of graphical user interfaces for database systems can be found in [Bati91] Aside from the early work on graphical relational interfaces, most research has focused on the design of interfaces for databases based on ....

M. Stonebraker et al, "DBMS Research at a Crossroads: The Vienna Update," Proc. 19th VLDB Conf., Aug. 1993.

....all, a strong user requirement for stable systems in changing environments. Numerous analyses of future database directions has indicated that legacy, change management and high availability are characteristics that are currently, if not poorly, are at least inadequately supported by databases [19 21]. From our perspective, this gives a strong pragmatic emphasis to the development of a temporal, evolving model. In addition, the development of commercial object oriented database management systems have divided (very broadly) into two groups; the unified architectures which are attempting to ....

M. Stonebraker, R. Agrawal, U. Dayal, E.J. Neuhold and A. Reuter, "DBMS research at the crossroads: the Vienna update", in Proc. Nineteenth International Conference on Very Large Databases. Dublin, Ireland, Morgan Kaufmann, Palo Alto, CA, pp. 688-692, 1993.

....on line or concurrently with usage. When reorganization is performed without taking the database off line or quiescing the transactions, it is called concurrent reorganization or on line reorganization. On line reorganization has been identified as a challenging problem by the database community [14, 17, 2, 15, 16]. The single most compelling reason to do on line reorganization is the availability of the database during the reorganization. The conventional approach to reorganization is to take the database offline. Any business enterprise that relies on 24 hour availability such as reservation systems, ....

M. Stonebraker, R. Agrawal, U. Dayal, E. J. Neuhold, and A. Reuter. DBMS research at crossroads: The vienna update. In Proc. 19th Intl. Conf. VLDB, pages 688--692. Morgan Kaufmann Publishers, August 1993.

.... 1 Introduction With rapid growth in the amount of information stored in databases, the development of effective and efficient tools for knowledge discovery in databases (KDD, or data knowledge mining) has become an increasingly important task in both database and machine learning researches [21, 7, 22]. In the past several years, fruitful research has been conducted on knowledge discovery in relational databases, with some experimental systems constructed and tested in large databases [7, 11, 19, 10] With the emerging trend in the development of new database systems, such as object oriented ....

....etc. The availability of generalization operators and knowledge discovery tools will substantially enhance the power and increase the flexibility of data and knowledge base systems. As an emerging field, knowledge discovery in database has not only attracted wide attention in research communities [21, 7, 22] but also shown its high promise in industrial applications. A number of knowledge discovery systems prototypes have been constructed and experimented on medium to large databases, such as DBLEARN [10] INLEN [11] KDW [19] EXPLORA [13] FortyNiner [24] Opportunity Explorer [1] Datalogic R ....

M. Stonebraker, R. Agrawal, U. Dayal, E. Neuhold, and A. Reuter. DBMS research at a crossroads: The vienna update. In Proc. 19th Int. Conf. Very Large Data Bases, pages 688--692, Dublin, Ireland, Aug. 1993.

....database model has to mean. Proposals such as ODMG 93 are informal and cause semantic and conceptual doubts (not only in 1 DD and DOOD can be considered as a third tendency in addition to the mentioned ones; however, there are doubts if it will result in a realistic technology, see [Ston93]. 2 An aggressive theory does not accept the current reality and forces a revolutionary change; e.g. deductive databases. A nonaggressive theory is an abstraction over many phenomena observed in the reality; e.g. theory of automata. A moderately aggressive theory accepts practical solutions ....

M. Stonebraker et al. DBMS Research at a Crossroad: the Vienna Update. Proc. 19th VLDB Conf. Dublin, Ireland, 1993.

....for a database schema to evolve without the loss of existing information. Schema evolution and schema versioning can also be considered to contribute to the solution of a number of identified deficiencies in current database systems research, for example, in the database support for legacy systems (Stonebraker, et al. 1993) and non stop, industrial strength databases (Selinger 1993) Interest in evolving database systems has predominantly resulted from research in two areas. Firstly, as a logical extension from work with temporal data modelling and temporal databases, and secondly from within the object oriented ....

Stonebraker, M., Agrawal, R., Dayal, U., Neuhold, E.J. and Reuter, A. 1993. `DBMS research at the crossroads: the Vienna update'. In Proc. 19th International Conference on Very Large Databases, Dublin, Ireland. R. Agrawal, S. Baker and D. Bell (eds.). Morgan Kaufmann, Palo Alto, CA. 688692.

....interface and a debugger for an active rule system, can benefit from and exploit the uniform representation of interface and database system concepts as database objects. 1 Introduction It is clear that database interface research lags behind certain other aspects of database system development [26]. This is perhaps not surprising, as recent research in database systems has, in general, extended the facilities which a database system is expected to support. This in turn leads to increasingly sophisticated systems, with more facilities which must be accessible through the interface to ....

M. Stonebraker, R. Agrawal, U. Dayal, E. Neuhold, and A. Rueter. DBMS Research At A Crossroads: The Vienna Update. In Proc. of the 19th VLDB, pages 688--692, Dublin, Ireland, 1993. R. Agrawal et al (Eds).

....browsing interface, also based on hypertext style navigation, and to augment this interface with an equally natural paradigm for integrating querying and query refinement with browsing. 2. 2 Related Research In general, user interfaces have been somewhat neglected as a database research topic [Ston89, Ston93]. Still, a fair sized body of work exists in this area; a comprehensive survey and taxonomy of graphical user interfaces for database systems can be found in [Bati91] Aside from the early work on graphical interfaces for relational data, most of the work in the database research community has ....

M. Stonebraker et al, "DBMS Research at a Crossroads: The Vienna Update," Proc. 19th VLDB Conf., Aug. 1993.

....D relations the propagation algorithm will have to be modified to return to previous levels in the network and to re propagate the changes of the recursive D relations using materialization and fixed point techniques. However, since recursive queries are uncommon in AMOSQL (and in general [70]) the work has not been focused on recursion. When the network is constructed, loops can automatically be detected and a naive evaluation of the condition can be used instead. In [34] an algorithm is presented that given as set of production rules, returns a set of the most profitable expressions ....

Stonebraker M., Agrawal R., Dayal U., Neuhold E. J., Reuter A.: DBMS Research at a Crossroads: The Vienna Update, VLDB conf. Dublin, Aug. 1993, pp. 688-692

....conveying information. Already, these systems play a major role in educational applications, entertainment technology, and library information systems. A challenging task when implementing these systems is to support a continuous retrieval of an object at the bandwidth required by its media type [6, 10, 16]. This is challenging because certain media types, in particular video, require very high bandwidths. For example, the This research was supported in part by grants from AT T NCR Teradata, Hewlett Packard, IBM grant SJ92488, and NSF grants IRI 9110522, IRI 9203389, and CDA 9216321 y Now with ....

Stonebraker, M., Agrawal, R., Dayal, U., Neuhold, E., and Reuter, A. DBMS Research at a Crossroads: The Vienna Upda te. In Proceedings of VLDB '93.

....well as the CD algorithm with respect to the number of transactions, and scales as well as IDD with respect to increasing candidate set size. Keywords Data mining, parallel processing, association rules, load balance, scalability. I. Introduction One of the important problems in data mining [1] is discovering association rules from databases of transactions, where each transaction contains a set of items. The most time consuming operation in this discovery process is the computation of the frequencies of the occurrence of subsets of items, also called candidates, in the database of ....

M. Stonebraker, R. Agrawal, U. Dayal, E. J. Neuhold, and A. Reuter, "DBMS research at a crossroads: The vienna update, " in Proc. of the 19th VLDB Conference, Dublin, Ireland, 1993, pp. 688--692.

....ideas. There is also no standards and agreement concerning basic properties of future database systems; compare e.g. 2] and [32] Growth of computer networks and distributed databases causes that a key aspect of newly developed systems is their support for interaction with other systems. In [35], presenting votes of professionals concerning hot database topics, legacy applications are on the third position from the top. Currently it is very hard to promote in the commercial world a system which does not conform to popular industry standards and beliefs aiming interoperability. It is ....

M. Stonebraker, R. Agraval, U. Dayal, E.J. Neuhold, A. Reuter. DBMS Research at a Crossroad: the Vienna Update. Proc. 19th Intl. Conf. on Very Large Data Bases, Dublin, Ireland, August 1993, pp.688-692

....to information management, query processing, decision making, process control and many other applications. Therefore, knowledge discovery in databases (or data mining) has been considered as one of the most important research topics in 1990s by both machine learning and database researchers [17, 20]. There are different philosophical considerations on knowledge discovery in databases (KDD) 5, 23] which may lead to different methodologies in the development of KDD techniques [5, 11, 6, 18, 1, 21, 22, 23] In our previous studies [2, 7, 8] an attribute oriented induction method has been ....

M. Stonebraker, R. Agrawal, U. Dayal, E. Neuhold, and A. Reuter. DBMS research at a crossroads: The vienna update. In Proc. 19th Int. Conf. Very Large Data Bases, pages 688--692, Dublin, Ireland, Aug. 1993.

....the expanding capabilities of database systems can be exploited fully only by expert programmers. Making databases easier to use and program, and thereby more accessible, is an important issue today and will become more important as database technology becomes faster, cheaper, and more powerful [1]. We will demonstrate DataSplash, a database visualization environment developed by the Tioga project. DataSplash is an integrated environment for creating, navigating, and querying multiple visual representations of data. Most actions can be performed incrementally via direct manipulation mouse ....

Stonebraker, M., Agrawal, R., Dayal, U., Neuhold, E., Reuter, A., "DBMS Research Crossroads: The Vienna Update," VLDB 1993, Dublin, Ireland, August 1993, pp. 688-692.

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M. Stonebraker, R. Agrawal, U. Dayal, E. Neuhold, and A. Reuter. DBMS research at a crossroads: The Vienna update. In Proceedings of the 19th International Conference on Very Large Data Bases, pages 688--692, Dublin, Ireland, August 1993.

....the expanding capabilities of database systems can be exploited fully only by expert programmers. Making databases easier to use and program, and thereby more accessible, is an important issue today and will become more important as database technology becomes faster, cheaper, and more powerful [11]. This paper reports on the design of Tioga 2, a new database visualization environment. We use the term visualization environment rather than programming environment to emphasize that most programming operations in Tioga 2 are performed by manipulating graphical representations of either ....

M. Stonebraker, R. Agrawal, U. Dayal, E. Neuhold, and A. Reuter. DBMS research at a crossroads: The Vienna update. In Proc. of the 19th International Conference on Very Large Data Bases, pages 688--692, Dublin, Ireland, August 1993.

....Berkeley Berkeley, CA 94720 USA email: tioga postgres.berkeley.edu Peter Wisnovsky and Cimarron Taylor Illustra Information Technologies, Inc. 1111 Broadway, Suite 2000 Oakland, CA 94607 USA Abstract This paper describes extensions to the Tioga flight simulator browsing protocol presented by Stonebraker et al. 1993a) These extensions allow users to navigate a multidimensional data space using sophisticated zooming capabilities. This design also allows users to move easily between different multidimensional spaces. Tunneling between different data spaces is shown to be a substantial generalization of ....

....zooming. Supported in part by CNRI grant #M1717 and by NSF grant #FD94 00773. Presently with Automation Consultants Group, 650 California Street, 26th Floor, San Francisco, CA 94108. 1 INTRODUCTION The design of user interfaces for database systems is an area in need of more attention (Stonebraker et al. 1993c) Existing database user interfaces are often unfriendly and difficult for nonexperts to use. Common database interfaces include textual programming languages or formsbased interfaces oriented towards business applications. In Stonebraker et al. 1993a) we presented Tioga, a new paradigm for ....

[Article contains additional citation context not shown here]

Stonebraker, M., et al. (1993c) DBMS Research at a Crossroads: The Vienna Update. Proceedings of the 1993 VLDB Conference, Dublin, Ireland.

....the expanding capabilities of database systems can be exploited fully only by expert programmers. Making databases easier to use and program, and thereby more accessible, is an important issue today and will become more important as database technology becomes faster, cheaper, and more powerful [11]. This paper reports on the design of Tioga 2, a new database visualization environment. We use the term visualization environment rather than programming environment to emphasize that most programming operations in Tioga 2 are performed by manipulating graphical representations of either ....

M. Stonebraker, R. Agrawal, U. Dayal, E. Neuhold, and A. Reuter. DBMS research at a crossroads: The Vienna update. In Proc. of the 19th International Conference on Very Large Data Bases, pages 688--692, Dublin, Ireland, August 1993.

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M. Stonebraker, R. Agrawal, U. Dayal, E. J. Neuhold, and A. Reuter. DBMS research at a crossroads: The vienna update. In Proc. of the 19th VLDB Conference, pages 688--692, Dublin, Ireland, 1993.

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M. Stonebraker, R. Agrawal, U. Dayal, E. J. Neuhold, and A. Reuter. DBMS research at a crossroads: The vienna update. In Proc. of the 19th VLDB Conference, pages 688--692, Dublin, Ireland, 1993.

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M. Stonebraker, R. Agrawal, U. Dayal, E. Neuhold, and A. Reuter. DBMS Research at a Crossroads: The Vienna Upda te. In proceedings of the International Conference on Very Large Databases, 1993.

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M. Stonebraker, R. Agrawal, U. Dayal, E. J. Neuhold, and A. Reuter. DBMS research at a crossroads: The vienna update. In Proc. of the 19th VLDB Conference, pages 688--692, Dublin, Ireland, 1993. 8

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M. Stonebraker, R. Agrawal, U. Dayal, E. J. Neuhold, and A. Reuter. Dbms research at a crossroads: The vienna update. In Proc. of the 19th VLDB Conference, pages 688--692, Dublin, Ireland, 1993.

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M. Stonebraker, R. Agrawal, U. Dayal, E. J. Neuhold, and A. Reuter. Dbms research at a crossroads: The vienna update. In Proc. of the 19th VLDB Conference, pages 688--692, Dublin, Ireland, 1993.

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M. Stonebraker, et al.: DBMS Research at a Crossroads: The Vienna Update. - Proc. 19th Int. Conf. on VLDB, Dublin 1993, Morgan Kaufmann Publ., pp. 688-692

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M. Stonebraker, R. Agrawal, U. Dayal, E. Neuhold, and A. Reuter. DBMS Research at a Crossroads: The Vienna Update. In Proceedings of the International Conference on Very Large Databases, 1993.

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M. Stonebraker, R. Agrawal, U. Dayal, E. Neuhold, A. Reuter. DBMS research at a crossroads: the Vienna update. In Proc. of VLDB, 1993.

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M. Stonebraker, R. Agrawal, U. Dayal, E. Neuhold, and A. Reuter. DBMS Research at a Crossroads: The Vienna Update. In proceedings of the International Conference on Very Large Databases, 1993.

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M. Stonebraker, R. Agrawal, U. Dayal, E. Neuhold, and A. Reuter. DBMS Research at a Crossroads: The Vienna Update. In Proceedings of the International Conference on Very Large Databases, 1993.

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M. Stonebraker, R. Agrawal, U. Dayal, E. J. Neuhold, and A. Reuter. DBMS research at a crossroads: The vienna update. In Proc. of the 19th VLDB Conference, pages 688--692, Dublin, Ireland, 1993.

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M. Stonebraker, R. Agrawal, U. Dayal, E. Neuhold, and A. Reuter. DBMS Research at a Crossroads: The Vienna Update. In Proceedings of the International Conference on Very Large Databases, 1993.

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