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  1. No Access

    Chapter and Conference Paper

    Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms

    Suppose you are a teacher, and have to convey a set of object-property pairs (‘lions eat meat’). A good teacher will convey a lot of information, with little effort on the student side. What is the best and mo...

    Bryan Hooi, Hyun Ah Song in Advances in Knowledge Discovery and Data M… (2016)

  2. No Access

    Chapter and Conference Paper

    Electronic Textbooks and Data Mining

    Education is known to be the key determinant of economic growth and prosperity [8,12]. While the issues in devising a high-quality educational system are multi-faceted and complex, textbooks are acknowledged t...

    Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan in Web-Age Information Management (2012)

  3. Chapter and Conference Paper

    Enriching Education through Data Mining

    Education is acknowledged to be the primary vehicle for improving the economic well-being of people [1,6]. Textbooks have a direct bearing on the quality of education imparted to the students as they are the p...

    Rakesh Agrawal in Machine Learning and Knowledge Discovery in Databases (2011)

  4. No Access

    Article

    Privacy-preserving indexing of documents on the network

    With the ubiquitous collection of data and creation of large distributed repositories, enabling search over this data while respecting access control is critical. A related problem is that of ensuring privacy ...

    Mayank Bawa, Roberto J. Bayardo Jr, Rakesh Agrawal, Jaideep Vaidya in The VLDB Journal (2009)

  5. No Access

    Chapter and Conference Paper

    On Honesty in Sovereign Information Sharing

    We study the following problem in a sovereign information-sharing setting: How to ensure that the individual participants, driven solely by self-interest, will behave honestly, even though they can benefit fro...

    Rakesh Agrawal, Evimaria Terzi in Advances in Database Technology - EDBT 2006 (2006)

  6. Chapter and Conference Paper

    Data Privacy

    There is increasing need to build information systems that protect the privacy and ownership of data without impeding the flow of information. We will present some of our current work to demonstrate the techni...

    Rakesh Agrawal in Machine Learning: ECML 2004 (2004)

  7. No Access

    Chapter and Conference Paper

    An Implementation of P3P Using Database Technology

    The privacy of personal information on the Internet has become a major concern for governments, businesses, media, and the public. Platform for Privacy Preferences (P3P), developed by the World Wide Web Consor...

    Rakesh Agrawal, Jerry Kiernan in Advances in Database Technology - EDBT 2004 (2004)

  8. Chapter and Conference Paper

    Data Privacy

    There is increasing need to build information systems that protect the privacy and ownership of data without impeding the flow of information. We will present some of our current work to demonstrate the techni...

    Rakesh Agrawal in Knowledge Discovery in Databases: PKDD 2004 (2004)

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    Article

    Watermarking relational data: framework, algorithms and analysis

    We enunciate the need for watermarking database relations to deter data piracy, identify the characteristics of relational data that pose unique challenges for watermarking, and delineate desirable properties ...

    Rakesh Agrawal, Peter J. Haas, Jerry Kiernan in The VLDB Journal (2003)

  10. Chapter and Conference Paper

    Trust Management for the Semantic Web

    Though research on the Semantic Web has progressed at a steady pace, its promise has yet to be realized. One major difficulty is that, by its very nature, the Semantic Web is a large, uncensored system to whic...

    Matthew Richardson, Rakesh Agrawal, Pedro Domingos in The Semantic Web - ISWC 2003 (2003)

  11. No Access

    Chapter and Conference Paper

    Athena: Mining-Based Interactive Management of Text Databases

    We describe Athena: a system for creating, exploiting, and maintaining a hierarchy of textual documents through interactive miningbased operations. Requirements of any such system include speed and minimal end...

    Rakesh Agrawal, Roberto Bayardo in Advances in Database Technology — EDBT 2000 (2000)

  12. No Access

    Article

    Scalable feature selection, classification and signature generation for organizing large text databases into hierarchical topic taxonomies

    We explore how to organize large text databases hierarchically by topic to aid better searching, browsing and filtering. Many corpora, such as internet directories, digital libraries, and patent databases are...

    Soumen Chakrabarti, Byron Dom, Rakesh Agrawal, Prabhakar Raghavan in The VLDB Journal (1998)

  13. No Access

    Chapter and Conference Paper

    SLIQ: A fast scalable classifier for data mining

    Classification is an important problem in the emerging field of data mining. Although classification has been studied extensively in the past, most of the classification algorithms are designed only for memory...

    Manish Mehta, Rakesh Agrawal, Jorma Rissanen in Advances in Database Technology — EDBT '96 (1996)

  14. No Access

    Chapter and Conference Paper

    Mining sequential patterns: Generalizations and performance improvements

    The problem of mining sequential patterns was recently introduced in [3]. We are given a database of sequences, where each sequence is a list of transactions ordered by transaction-time, and each transaction i...

    Ramakrishnan Srikant, Rakesh Agrawal in Advances in Database Technology — EDBT '96 (1996)

  15. No Access

    Chapter and Conference Paper

    Type derivation using the projection operation

    We present techniques for deriving types from existing objectoriented types using the relational algebraic projection operation and for inferring the methods that are applicable to these types. Such type deriv...

    Rakesh Agrawal, Linda G. DeMichiel in Advances in Database Technology — EDBT '94 (1994)

  16. No Access

    Article

    Guest editor's introduction

    Rakesh Agrawal in Distributed and Parallel Databases (1993)

  17. No Access

    Chapter and Conference Paper

    Recovery algorithms for database machines with non-volatile main memory

    We consider a hypothetical database machine in which the main memory is non-volatile, and present recovery algorithms for such a machine. These algorithms are considerably simpler and more efficient than class...

    Rakesh Agrawal, H. V. Jagadish in Database Machines (1989)

  18. No Access

    Chapter

    A Parallel Logging Algorithm for Multiprocessor Database Machines

    During the past decade, a number of database tnachine designs have been proposed. However, these designs have been optitnized only with respect to the retrieval queries, and virtually no attention has been giv...

    Rakesh Agrawal in Database Machines (1985)