Searching for authors named "Shiby Thomas" – sorted by Relevance.
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Incremental Mining of Constrained Associations
- File-based mining algorithms have received most attention in the last several years. The advent of data warehouses has shifted the focus of data mining from file-based systems to database systems. Architectures and techniques for optimizing mining algorithms for relational as well as Object-relation
- Cited by 8 (0 self) – Add To MetaCart
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Mining Generalized Association Rules and Sequential Patterns Using SQL Queries
- Database integration of mining is becoming increasingly important with the installation of larger and larger data warehouses built around relational database technology. Most of the commercially available mining systems integrate loosely (typically, through an ODBC or SQL cursor interface) with
- Cited by 18 (1 self) – Add To MetaCart
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Performance Evaluation and Optimization of Join Queries for Association Rule Mining
- . The explosive growth in data collection in business organizations introduces the problem of turning these rapidly expanding data stores into nuggets of actionable knowledge. The state-of-the-art data mining tools available for this integrate loosely with data stored in DBMSs, typically through
- Cited by 11 (1 self) – Add To MetaCart
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An Architecture and Two New Research Problems in ARCS Databases
- Databases have been mandated as the chosen platform to develop automated control systems for environments where the state of the system changes rapidly, and actions need to be taken with timing constraints, such as stock trading, air traffic control, network management and process control to name a
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An Efficient Algorithm for the Incremental Updation of Association Rules in Large Databases
- Efficient discovery of association rules in large databases is a well studied problem and several approaches have been proposed. However, it is non trivial to maintain the association rules current when the database is updated since, such updates could invalidate existing rules or introduce new rule
- Cited by 53 (0 self) – Add To MetaCart
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On Integrating Standard Transactions in Real--Time Database Systems
- Real-time database systems are designed to handle workloads where transactions have completion deadlines and the goal is to meet these deadlines. However, many real-time database environments are characterized by workloads that are a mix of real-time and standard (non-real-time) transactions. Unfort
- Cited by 7 (3 self) – Add To MetaCart
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Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications
- Data mining on large data warehouses is becoming increasingly important. In support of this trend, we consider a spectrum of architectural alternatives for coupling mining with database systems. These alternatives include: loosecoupling through a SQL cursor interface; encapsulation of a mining algor
- Cited by 93 (5 self) – Add To MetaCart
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An Efficient Algorithm for the Incremental Updation of Association Rules in Large Databases
- Efficient discovery of association rules in large databases is a well studied problem and several approaches have been proposed. However, it is non trivial to maintain the association rules current when the database is updated since, such updates could invalidate existing rules or introduce new rule
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Design Issues for Extensible Concurrency Control Mechanisms
- Relational database management systems lack the requisite support for specialized applications such as engineering databases, electronic design databases, geographic databases, etc. Extensible database management systems attempt to fill this void by providing capabilities to define query language ex
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Integrating Standard Transactions
- Real-time database systems are designed to handle workloads where transactions have completion deadlines and the goal is to meet these deadlines. However, many real-time database environments are characterized by workloads that are a mix of real-time and standard (non-real-time) transactions.
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