Chapter 2 INTRUSION DETECTION: A SURVEY (2009)
Ar Lazarevic, Vipin Kumar, Jaideep Srivastava
This chapter provides the overview of the state of the art in intrusion detection research. Intrusion detection systems are software and/or hardware components that monitor computer systems and...
Chapter 3 The MINDS- Minnesota Intrusion Detection System (2009)
Levent Ertöz, Eric Eilertson, Ar Lazarevic, Pang-ning Tan, Vipin Kumar, Jaideep Srivastava
a suite of data mining techniques to automatically detect attacks against computer networks and systems. While the long-term objective of MINDS is to address all aspects of intrusion detection, in...
Role of Computational Trust Models in Service Science (2009)
Kim, Young Ae, Ahmad, Muhammad A., Srivastava, Jaideep, Kim, Soung Hie
With the proliferation of online communities and Person-to-Person (P2P) online service markets, the deployment of knowledge, skills, experiences and user generated contents services are generally...
Ar Lazarevic, Paul Dokas, Levent Ertoz, Vipin Kumar, Jaideep Srivastava, Pang-ning Tan
The information technology advances that provide new capabilities to our forces also provide the enemy with new and powerful tools to launch attacks on our critical information resources. A specific...
Analysis of Social Networks & Group Dynamics from Electronic Communication (2008)
Nishith Pathak, Eep Mane, Jaideep Srivastava
The field of social network analysis evolved from the need to understand social relationship and interactions within a group of individuals. Knowing all individuals (employees) in an organization is...
Efficient Aggregation Algorithms on Very Large Compressed Data Warehouses (2008)
Jianzhong Li, Yingshu Li, Jaideep Srivastava
ABSTRACT. Multidimensional aggregation and Cube are dominant operations for on-line analytical processing (OLAP). Many efficient algorithms to compute multidimensional aggregation and Cube for...
From Clicks to Bricks: CRM Lessons from E-commerce (2008)
Eep Mane, Prasanna Desikan, Jaideep Srivastava, Eep Mane, Prasanna Desikan, Jaideep Srivastava
E-commerce allows a level of closeness in customer-to-store interaction that is far greater than imaginable in the physical world, leading to unprecedented data collection, especially about the...
• Vipin Kumar, U. Minnesota • Terran Lane, U. New Mexico (2008)
Philip Chan, Florida Tech, Ar Lazarevic, U. Minnesota, Jaideep Srivastava, U. Minnesota, ...
Workshop on
Web Mining for Business Computing (2008)
Prasanna Desikan, Colin Delong, Eep Mane, Kalyan Beemanapalli, Kuo-wei Hsu, Jaideep Srivastava, ...
Over the last decade, there has been a paradigm shift in business computing with the emphasis moving from data collection to knowledge extraction. Central to this shift has been the explosive growth...
PWave: A Multi-source Multi-sink Anycast Routing Framework for Wireless Sensor Networks (2008)
Haiyang Liu, Zhi-li Zhang, Jaideep Srivastava, Victor Firoiu
Abstract. We propose a novel routing framework called PWave that supports multi-source multi-sink anycast routing for wireless sensor networks. A distributed and scalable potential field estimation...
Problem Characterization • Temporal (2008)
Benjamin Mayer, Huzefa Rangwala, Rohit Gupta, Jaideep Srivastava, George Karypis, Vipin Kumar, ...
a classification model to predict liver fibrosis stage based on combinations of common laboratory tests, obtained over time during routine patient care • Find unknown novel patterns in a large...
Prasanna Desikan, Nishith Pathak, Jaideep Srivastava
PageRank is a popular ranking metric for large graphs such as the World Wide Web. Current research techniques for improving computational efficiency of PageRank have focussed on improving the I/O...
Jaideep Srivastava, Thomas M. Niccum, Bhaskar Himatsingka, Leana Golubchik, Richard R. Muntz, Gerhard Weikum, ...
is published quarterly and is distributed to all TC members. Its scope includes the design, implementation, modelling, theory and application of database systems and their technology. Letters,...
Aleksandar Lazarević, Jaideep Srivastava, Vipin Kumar
PAKDD-2004 Tutorial � We are drowning in the deluge of data that are being collected
Web Mining for Self-Directed E-learning (2008)
Prasanna Desikan, Colin Delong, Kalyan Beemanapalli, Amit Bose, Jaideep Srivastava
Self-directed e-learning focuses on the independent learner, one who engages in education at his own pace, free from curricular obligation. A number of tools, some purposefully and others...
Jaideep Srivastava, Jaideep Srivastava
Mr. Prasanna Desikan’s help in preparing these slides is acknowledged
Data Mining (KDD-2002). (2008)
Brij M. Masand, Myra Spiliopoulou, Osmar R. Zaiane, Jaideep Srivastava
In this paper, we provide a summary of the WEBKDD 2002 workshop, whose theme was ‘Web Mining for Usage Patterns and Profiles’. This workshop was held in conjunction with the ACM
A Case for Analytical Customer Relationship Management (2008)
Jaideep Srivastava, Jau-hwang Wang, Ee-peng Lim, San-yih Hwang
Abstract. The Internet has emerged as a low cost, low latency and high bandwidth customer communication channel. Its interactive nature provides an organization the ability to enter into a close,...
Jaideep Srivastava, Thomas M. Niccum, Bhaskar Himatsingka, Leana Golubchik, Richard R. Muntz, David B. Lomet, ...
is published quarterly and is distributed to all TC members. Its scope includes the design, implementation, modelling, theory and application of database systems and their technology. Letters,...
Specifying Object-Oriented Federated Databases from Existing Databases (2007)
Ee-peng Lim, Meng-liang Lim, Jaideep Srivastava
A major challenge in building an object-oriented (OO) federated database system (FDBS) is to be able to define the OO federated DBs from the existing DBs and to support queries on the federated DBs....
A Multimedia Programming Toolkit/Environment (2007)
Raja R. Harinath, Wonjun Lee, Difu Su, Sunil Wadhwa, Duminda Wijesekera, Jaideep Srivastava, ...
This paper provides details and implementation experiences of a multimedia programming language and associated toolkits. The language, a data-flow paradigm for multimedia streams, consist of blocks...
Jaideep Srivastava, Robert Cooley, Mukund Deshp, Pang-ning Tan
Web usage mining is the application of data mining techniques to discover usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. Web usage mining...
A Tree-Decomposition Approach to Parallel Query Optimization (2007)
Thomas M. Niccum, Jaideep Srivastava, Bhaskar Himatsingka, Jianzhong Li
In this paper we present an approach for transforming a relational join tree into a detailed execution plan with resource allocation information, for execution on a parallel machine. Our approach...
Tradeoffs in Parallel Query Processing and its Implications for Query Optimization (2007)
Bhaskar Himatsingka, Jaideep Srivastava, Thomas M. Niccum
Selecting the best plan for executing a given query is the problem of query optimization. The focus of query optimization for sequential machines has been on finding query plans which involve the...
Entity Identification in Database Integration: An Evidential Reasoning Approach (2007)
Ee-Peng Lim, Jaideep Srivastava
Entity identification is the problem of matching object instances from different databases which correspond to the same real-world entity. In this paper, we present a 2-step entity identification...
Adaptive Batching of Client Requests for Continuous Media Playback (2007)
Youjip Won And, Youjip Won, Jaideep Srivastava
In this paper, we investigate the buffer requirement to support a set of continuous media playbacks and develop an algorithm which dynamically changes the service mode of the playback to minimize the...
Paul Pazandak, Jaideep Srivastava, John V. Carlis
This paper provides an overview of the DAMSEL project, and the temporal language component of DAMSEL. The temporal component is one of three language components, and part of a framework being...
Jim Richardson, Mukul Agrawal, Jaideep Srivastava, Raja Harinath
Traditional information-intensive applications are passive: they maintain a body of information in a database or other repository. Users query and update that information, but otherwise the...
Efficient Storage for Synchronized Digital Audio and Video (2007)
this paper. The proposed solutions use pre--specified composition (synchronization) of audio and video data to decide the placement of synchronized digital video and audio. In deriving the placement...
A QoS Based Scheduling Algorithm for Continuous Media Servers (2007)
A growing set of applications require digital audio and video data, commonly referred to as continuous media (CM). These applications require continuous real--time data flow during playback and...
Retrieval Techniques for Compressed Video Streams (2007)
A number of applications require audio and video data. Access to such data requires continuous real--time stream flow during playback(recording). This requires scheduling accesses to storage devices...
Transaction Recovery in Federated Database Systems (2007)
San-yih Hwang, Jaideep Srivastava, Jianzhong Li, Minneapolis Mn
Transaction management for federated database systems (FDBSs), where each participating DBMS is autonomous, supports global transactions that can access more than one database. A number of...
Chapter 3 MINDS- Minnesota Intrusion Detection System (2007)
Levent Ertöz, Eric Eilertson, Ar Lazarevic, Pang-ning Tan, Vipin Kumar, Jaideep Srivastava
This paper introduces the Minnesota Intrusion Detection System (MINDS), which uses a suite of data mining techniques to automatically detect attacks against computer networks and systems. While the...
c ○ Springer-Verlag 1999 Experimental evaluation of loss perception in continuous media ⋆ (2007)
Duminda Wijesekera, Jaideep Srivastava, Anil Nerode, Mark Foresti
Abstract. Perception of multimedia quality, specified by quality-of-service (QoS) metrics, can be used by system designers to optimize customer satisfaction within resource bounds enforced by...
Da-joins: Declustering aware parallel join algorithms (2007)
Thomas M. Niccum, Jaideep Srivastava, Jianzhong Li
In this paper we introduce the concept of declustering aware joins (DA-Joins), which is a family of join algorithms with each member being determined by the underlying declustering method and the...
Data mining for Intelligent Web Prefetching (2007)
Ajay Pandey, R. R. Vatsavai, X. Ma, Jaideep Srivastava, S. Shekhar
Abstract. The growth of the World Wide Web has emphasized the need for improved user latency and customer experience. Increasing use of dynamic pages, frequent changes in site structure, and user...
Who Thinks Who Knows Who? Socio-cognitive Analysis of Email Networks (2006)
Pathak, Nishith, Mane, Sandeep, Srivastava, Jaideep
Interpersonal interaction plays an important role in organizational dynamics, and understanding these interaction networks is a key issue for any organization, since these can be tapped to facilitate...
eSENSE: Energy efficient stochastic sensing framework for wireless sensor platforms (2006)
Haiyang Liu, Abhishek Ch, Jaideep Srivastava
Energy is a precious resource in wireless sensor networks as sensor nodes are typically powered by batteries with high replacement cost. This paper presents eSENSE: an energy-efficient stochastic...
Identifying Clusters in Marked Spatial Point Processes: A Summary of Results (2006)
Eep Mane, James Kang, Shashi Shekhar, Jaideep Srivastava, Carson Murray, Anne Pusey, ...
Clustering of marked spatial point process is an important problem in many application domains (e.g. Behavioral Ecology). Classical clustering approaches handle homogeneous spatial points and hence...
General Terms Algorithms, Performance, Design, Experimentation. (2006)
Amit Bose, Kalyan Beemanapalli, Jaideep Srivastava, Sigal Sahar, Amit Bose, Jaideep Srivastava, ...
Web usage mining is being used extensively for Web Personalization. Many algorithms and techniques have been proposed to predict the next user request. Most, however, are limited in terms of their...
A Multi-Step Framework for Detecting Attack Scenarios (2006)
Mark Shaneck, Varun Ch, Haiyang Liu, Changho Choi, Eric Eilertson, Yongdae Kim, ...
Abstract. With growing dependence upon interconnected networks, defending these networks against intrusions is becoming increasingly important. In the case of attacks that are composed of multiple...
Who thinks who knows who? Socio-cognitive analysis of an Email Network (2006)
Nishith Pathak, Eep Mane, Jaideep Srivastava, Nishith Pathak
Interpersonal interaction plays an important role in organizational dynamics, and understanding these interaction networks is a key issue for any organization, since these can be tapped to facilitate...
USER (User Sensitive Expert Recommendation): What NonExperts NEED to Know (2005)
Colin Delong, Prasanna Desikan, Jaideep Srivastava
Recommender systems have traditionally focused on applications to e-commerce, where users are recommended products such as books, movies, or other commercial products from a large catalog of...
Network Size Estimation In A Peer-to-Peer Network (2005)
Eep Mane, Eep Mopuru, Kriti Mehra, Eep Mane, Eep Mopuru, Kriti Mehra, ...
Abstract — The emergence of peer-to-peer networks over the last decade has changed user’s perspective about information available on the Web. But, with thousand of nodes joining and leaving a...
Data Mining: The Next Generation (2005)
Ramakrishnan, Raghu, Agrawal, Rakesh, Freytag, Johann-Christoph, Bollinger, Toni, Clifton, Christopher W., Dzeroski, Saso, ...
Data Mining (DM) has enjoyed great popularity in recent years, with advances in both research and commercialization. The first generation of DM research and development has yielded several...
Mining Temporally Evolving Graphs (2004)
Prasanna Desikan, Jaideep Srivastava
Web mining has been explored to a vast degree and different techniques have been proposed for a variety of applications that include Web Search, Web Classification, Web Personalization etc. Most...
Probabilistic stream relational algebra: A data model for sensor data streams (2004)
Haiyang Liu, San-yih Hwang, Jaideep Srivastava, Haiyang Liu A, Jaideep Srivastava A
Sensor data streams exhibit special characteristics such as inherent information uncertainty and inherent data sample correlations, both within and across streams. We introduce a new data model,...
Detection and Summarization of Novel Network Attacks Using Data Mining (2004)
Levent Ertöz, Eric Eilertson, Aleksandar Lazarevic, Pang-Ning Tan, Paul Dokas, Vipin Kumar, ...
This paper introduces the Minnesota Intrusion Detection System (MINDS), which uses a suite of data mining techniques to automatically detect attacks against computer networks and systems. While the...
A comparative study of anomaly detection schemes in network intrusion detection (2003)
Ar Lazarevic, Aysel Ozgur, Levent Ertoz, Jaideep Srivastava, Vipin Kumar
Abstract. Intrusion detection corresponds to a suite of techniques that can be used to identify attacks against computers and network infrastructures. Anomaly detection is a key element of intrusion...
Hyperlink Analysis: Techniques and Applications (2002)
Prasanna Desikan, Jaideep Srivastava, Vipin Kumar, Pang-ning Tan, Related Work
ABSTRACT.................................................................................................................................................. 0
Selecting the Right Interestingness Measure for Association Patterns (2002)
Pang-ning Tan, Vipin Kumar, Jaideep Srivastava
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as support,...
Data mining for network intrusion detection (2002)
Paul Dokas, Levent Ertoz, Vipin Kumar, Ar Lazarevic, Jaideep Srivastava, Pang-ning Tan
This paper gives an overview of our research in building rare class prediction models for identifying known intrusions and their variations and anomaly/outlier detection schemes for detecting novel...
Ajay Bhushan P, Jaideep Srivastava, Shashi Shekhar, Ajay Bhushan, Pandey Jaideep, Srivastava Shashi Shekhar
The growth of the World Wide Web has emphasized the need for improved user latency. Primarily, two techniques, i.e., caching and prefetching are being used for improving user latency. Several studies...
Discovery of interesting usage patterns from web data (2000)
Robert Cooley, Pang-ning Tan, Jaideep Srivastava
applicationdomains,theidenticationofpatternsthatareconsideredinterestingisa
Srivatsan Varadarajan, Hung Q. Ngo, Jaideep Srivastava
For transmission of continuous media (CM) streams such as audio and video over the Internet, a critical issue is that periodic network overloads cause bursty packet losses. Studies on human...
Indirect association: Mining higher order dependencies in data (2000)
Pang-ning Tan, Jaideep Srivastava
Abstract. This paper introduces a novel pattern called indirect association and examines its utility in various application domains. Existing algorithms for mining associations, such as Apriori, will...
Discovery of interesting usage patterns from web data (2000)
Robert Cooley, Pang-ning Tan, Jaideep Srivastava
Abstract. Web Usage Mining is the application of data mining techniques to large Web data repositories in order to extract usage patterns. As with many data mining application domains, the...
Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data (2000)
Jaideep Srivastava, Robert Cooley, Jaideep Srivastava £ý, Robert Cooley Þ, Mukund Deshpande, Pang-ning Tan
Web usage mining is the application of data mining techniques to discover usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. Web usage mining...
Indirect Association: Mining Higher Order Dependencies in Data (2000)
Pang-ning Tan, Vipin Kumar, Jaideep Srivastava
. This paper introduces the concept of indirect association between items and examines its utility in various application domains. Existing algorithms for mining association rules, such as Apriori,...
Data preparation for mining world wide web browsing patterns (1999)
Robert Cooley, Bamshad Mobasher, Jaideep Srivastava
Abstract. The World Wide Web (WWW) continues to grow at an astounding rate in both the sheer volume of traffic and the size and complexity of Web sites. The complexity of tasks such as Web site...
Error spreading: a perception-driven approach to handling error in continuous media streaming (1999)
Srivatsan Varadarajan, Hung Q. Ngo, Jaideep Srivastava
With the growing popularity of the Internet, there is increasing interest in using it for audio and video transmission. Periodic network overloads, leading to bursty packet losses, have always been a...
Error-Spreading: Reducing Bursty Error in Continuous Media streaming (1999)
Hung Q. Ngo, Srivatsan Varadarajan, Jaideep Srivastava
With the growing popularity of the Internet, there is increasing interest in using it for audio and video transmission. Periodic network overloads, leading to bursty packet losses, have always been a...
CONTINUOUS MEDIA STREAMS (1999)
This is to certify that I have examined this bound copy of a master’s report by
Error spreading: a perception-driven approach to handling error in continuous media streaming (1999)
Srivatsan Varadarajan, Hung Q. Ngo, Jaideep Srivastava, Srivatsan Varadarajan, Hung Q. Ngo, Jaideep Srivastava
With the growing popularity of the Internet, there is increasing interest in using it for audio and video transmission. Periodic network overloads, leading to bursty packet losses, have always been a...
WebSIFT: The Web site information filter system (1999)
Robert Cooley, Pang-ning Tan, Jaideep Srivastava
Web Usage Mining is the application of data mining techniques to large Web data repositories in order to extract usage patterns. As with many data mining application domains, the identification of...
Data preparation for mining world wide web browsing patterns (1999)
Robert Cooley, Bamshad Mobasher, Jaideep Srivastava
Abstract. The World Wide Web (WWW) continues to grow at an astounding rate in both the sheer volume of traffic and the size and complexity of Web sites. The complexity of tasks such as Web site...
Aggregation Algorithms for Very Large Compressed Data Warehouses (1999)
Jianzhong Li, Doron Rotem, Jaideep Srivastava
Many efficient algorithms to compute multidimensional aggregation and Cube for relational OLAP have been developed. However, to our knowledge, there is nothing to date in the literature on...
Investigating factors influencing QoS of Internet phone (1999)
An increasing number of applications are using the Internet for voice transmission, and hence there is a growing demand for the Internet phone. However, the Internet was not originally designed for...
Strategic Replication of Video Files in a Distributed Environment (1999)
Youjip Won, Jaideep Srivastava
The per service cost have been serious impediment to wide spread usage of on-line digital continuous media service, especially in the entertainment arena. Although handling the continuous media may...
Situational Awareness Analysis Tools for Aiding Discovery of Security Events and Patterns (1998)
Kumar, Vipin, Kim, Yongdae, Srivastava, Jaideep, Zhang, Zhi-Li, Shaneck, Mark, Chandola, Varun, ...
The goal of the effort was to develop a comprehensive situational awareness analysis tool for discovery of intrusive behavior in information infrastructures and understanding anomalous network...
Probabilistic Stream Relational Algebra: A Data Model for Sensor Data Streams (1998)
Liu, Haiyang, Hwang, San-yih, Srivastava, Jaideep
Sensor data streams exhibit special characteristics such as inherent information uncertainty and inherent data sample correlations, both within and across streams. We introduce a new data model,...
Optimizing Configuration for Hierarchical Storage Based Continuous Media Server (1998)
Youjip Won, Jaideep Srivastava, Zhi-Li Zhang
Introduction Recent advances in computing and communication technologies have made it technically feasible and economically viable to provide on-line access to a variety of information services over...
Spatial match retrieval using signature files for iconic image databases (1997)
Jae-woo Chang, Jaideep Srivastava
In multimedia information retrieval applications, content-based image retrieval is essential for retrieving relevant multimedia documents. The purpose of our paper is to provide effective...
Parametric Evaluation of Performance Behavior in Hierarchical Storage Architecture (1997)
Youjip Won, Jaideep Srivastava
In this article, we investigate the performance behavior of a hierarchical storage architecture. Considering both the size of video files and the skewed file access patterns over the available files,...
Quality of Service Based Incremental Retrieval of Continuous Media (1996)
and have found that it is complete and satisfactory in all respects, and that any and all revisions required by the final examining committee have been made.
Requirements for MMDBMS (1996)
Paul Pazandak, Jaideep Srivastava
This report describes metrics to be used to determine the suitability of object database management systems to support multimedia data storage and use. Support at all levels of hardware and software...
{pazandak|srivasta|carlis@cs.umn.edu} (1996)
Distributed Multimedia Research, Paul Pazandak, Jaideep Srivastava, John V. Carlis
This paper provides an overview of the DAMSEL project, and the temporal language component of DAMSEL. The temporal component is one of three language components, and part of a framework being...
Quality of Service (QoS) Metrics for Continuous Media (1996)
Duminda Wijesekera, Jaideep Srivastava
This paper presents quality of service (QoS) metrics for continuity and synchronization specifications in continuous media (CM). Proposed metrics specify continuity and synchronization, with...
Visual Data Mining: Framework and Algorithm Development (1996)
M. Ganesh, Eui-Hong (Sam) Han, Vipin Kumar, Shashi Shekhar, Jaideep Srivastava
Visual data mining is the use of visualization techniques to allow data miners and analysts to evaluate, monitor, and guide the inputs, products and process of data mining. It can help introduce user...
Search Framework for Mining Classification Decision Trees (1996)
Eui-Hong (Sam) Han, Shashi Shekhar, Vipin Kumar, M. Ganesh, Jaideep Srivastava
Classification-rule-learning task is presented as a search process of finding a classification-decision tree that meets users' preferences and requirements. Users can control the efficiency of...
Web Mining: Pattern Discovery from World Wide Web Transactions (1996)
Bamshad Mobasher, Namit Jain, Eui-Hong (Sam) Han, Jaideep Srivastava
Web-based organizations often generate and collect large volumes of data in their daily operations. Analyzing such data can help these organizations to determine the life time value of clients,...
Web Mining: Pattern discovery from World Wide Web transactions (1996)
Bamshad Mobasher, Namit Jain, Jaideep Srivastava
Web-based organizations often generate and collect large volumes of data in their daily operations. Analyzing such data can help these organizations to determine the life time value of clients,...
Myriad: Design and Implementation of a Federated Database System (1995)
Ee-peng Lim, San-yih Hwang, Jaideep Srivastava, Dave Clements, M. Ganesh
A key problem in providing ‘enterprise-wide ’ information is the integration of databases that have been independently developed. An important requirement is to accommodate heterogeneity and...
Myriad: Design and Implementation of a Federated Database System (1995)
Ee-peng Lim, San-yih Hwang, Jaideep Srivastava, Dave Clements, M. Ganesh
A key problem in providing "enterprise-wide " information is integrating databases developed independently. An important requirement is to accommodate heterogeneity and maintain...
Paul Pazandak, Jaideep Srivastava
This paper provides an overview of the three language components of DAMSEL, a framework being implemented at the University of Minnesota. It is comprised of an embedable dynamic multimedia...
I/O Scheduling for Digital Continuous Media - Part I: Steady State Operation (1995)
R. Kenchammana-Hosekote, Jaideep Srivastava
A growing set of applications in domains ranging from distance education, entertainment, medical services, office automation to national defence require audio and video data. The basic characteristic...
I/O Scheduling for Digital Continuous Media Part II: VCR-like Operations (1995)
Advances in storage, compression, and network technology are making support for digital video and audio, collectively called continuous media (CM), possible. To provide economically feasible access...
Myriad: Design and Implementation of a Federated Database Prototype (1995)
Ee-Peng Lim, San-yih Hwang, Jaideep Srivastava, Dave Clements, M. Ganesh
This paper describes our experiences in the design and implementation of Myriad, and in the project management. Special emphasis is given to discussing design alternatives and their impact on Myriad....
Multi-Media Data Management Research at the University of Minnesota (1994)
Jaideep Srivastava, Duminda Wijesekara
This document gives an overview of our research effort in developing a digital shared (multi-user) integrated environment with multi-media data management at the University of Minnesota. 1...
Specification and Use of of Approximate Synchronization in Multimedia Presentations (1994)
Duminda Wijesekera, Deepak Kenchammana-hosekote, Jaideep Srivastava
Emergence of multimedia computing have brought forth new horizons and challenges to traditional computing. New notions of synchronization requirements is one such novelty of multimedia computations,...
Performance Evaluation of Grid Based Multi-Attribute Record Declustering Methods (1994)
Bhaskar Himatsingka Jaideep, Jaideep Srivastava
I/O subsystem is widely accepted as one of the principal bottlenecks for high performance parallel databases systems. The emergence of parallel I/O architectures has made the problem of data...
A Multimedia Temporal Specification Model and Language (1994)
Paul Pazandak, Jaideep Srivastava
Several models support the specification of temporal relationships for the recording and presentation of multimedia. The five principal approaches used by these models include hierarchic, timeline,...
Latin Hypercubes: A Class of Multidimensional Declustering Techniques (1994)
Bhaskar Himatsingka, Jaideep Srivastava, Jiang-zong Li, Doron Rotem
The I/O subsystem is widely accepted as one of the principal bottlenecks for high performance parallel databases systems. The emergence of parallel I/O architectures has made the problem of data...
Resolving Attribute Incompatibility in Database Integration: An Evidential Reasoning Approach (1994)
Ee-Peng Lim, Jaideep Srivastava, Shashi Shekhar
Resolving domain incompatibility among independently developed databases often involves uncertain information. DeMichiel [5] showed that uncertain information can be generated by the mapping of...
Designing an I/O Scheduler for Continuous Media (1994)
A growing set of multi-media applications require continuous flow of high volume data, e.g. video and audio, that can wholly reside only in secondary (and possibly tertiary) storage devices....
An I/O Scheduler for Continuous Media (1994)
A growing set of multi-media applications require continuous flow of high volume data, e.g. video and audio, that can wholly reside only in secondary (and possibly tertiary) storage devices. In this...
A tree decomposition approach to the parallel execution of relational query plans (1993)
Thomas M. Niccum, Hpc Graduate Fellow, Jaideep Srivastava, Bhaskar Himatsingka, Jianzhong Li
In this paper we present an approach for transforming a relational join tree into a detailed execution plan with resource allocation information, for execution on a parallel machine. Our approach...
Asynchronous Transaction Commitment in Federated Database Systems (1993)
San-yih Hwang, Ee-peng Lim, Jaideep Srivastava
We propose a new (and restricted) model for global transactions which allows asynchronous commitment of subtransactions. Our model requires each global transaction to have a fixed structure with...
Query Optimization and Processing in Federated Database Systems (1993)
Ee-Peng Lim, Jaideep Srivastava
this paper, we have selected a minimal set of core operations that includes the set of relational operations, i.e. foe,ß,1,\Gamma,[g, as well as three other operators which are useful in specifying...
Optimizing Multi-Join Queries in Parallel Relational Databases (1993)
Jaideep Srivastava, Gary Elsesser
Query optimization for parallel machines needs to consider machine architecture, processor and memory resources available, and different types of parallelism, making the search space much larger than...
Entity Identification in Database Integration (1993)
Ee-Peng Lim, Satya Prabhakar, Jaideep Srivastava, James Richardson
The objective of entity identification is to determine the correspondence between object instances from more than one database. This paper examines the problem at the instance level assuming that...
Concurrency Control in Federated Databases: A Dynamic Approach (1993)
San-yih Hwang, Jiandong Huang, Jaideep Srivastava
The concurrency control problem in a federated database system (FDBS) is especially difficult due to the inherent heterogeneity and autonomy of participating local database systems. A number of FDBS...
CMD: A multidimensional declustering method for parallel database systems (1992)
Jianzhong Li, Jaideep Srivastava, Doron Rotem
Abstract. I/O parallelism appears to be a promising approach toachieving high performance in parallel database systems. In such systems, it is essential to decluster database les into fragments and...
CMD: A Multidimensional Declustering Method for Parallel Database Systems (1992)
Jianzhong Li, Jaideep Srivastava, Doron Rotem
I/O parallelism appears to be a promising approach to achieving high performance in parallel database systems. In such systems, it is essential to decluster database files into fragments and spread...
Woosaeng Kim, Deepak Kenchammana-hosekote, Ee Peng Lim, Jaideep Srivastava
Schemes for specifying synchronization relations between multimedia data have important ramifications from user level specification to system level schedule generation. This paper examines the...
New optimization techniques in database access and maintenance /--by Jaideep Srivastava. (1988)
Thesis (Ph. D in Computer Science)--University of California, Berkeley, Dec. 1988.
J. Siekmann, Ron Kohavi, Brij M. Masand, Ron Kohavi, ...
Cataloging-in-Publication Data applied for
Feature Mining for Prediction of Degree of Liver Fibrosis
Mayer, Benjamin W., Rangwala, Huzefa S., Gupta, Rohit, Srivastava, Jaideep, Karypis, George, Kumar, Vipin, ...
Strategic Replication of Video Files in a Distributed Environment
Youjip Won, Jaideep Srivastava
The per service cost have been serious impediment to wide spread usage of on-line digital continuous media service, especially in the entertainment arena. Although handling the continuous media may...