22 Result(s)
within
Chapter
Rakesh Agrawal
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Chapter
Sustainable Photovoltaics
This chapter covers the largest set of projects in SERIIUS that can be viewed overall as having three distinct themes. First is the development of new low-capital thin-film photovoltaic (PV) technologies by hi...
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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...
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Chapter and Conference Paper
Mining Videos from the Web for Electronic Textbooks
We propose a system for mining videos from the web for supplementing the content of electronic textbooks in order to enhance their utility. Textbooks are generally organized into sections such that each sectio...
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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...
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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...
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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...
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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...
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Chapter and Conference Paper
Mining Information Extraction Rules from Datasheets Without Linguistic Parsing
In the context of the Pangea project at IBM, we needed to design an information extraction module in order to extract some information from datasheets. Contrary to several information extraction systems based ...
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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...
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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...
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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...
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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...
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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...
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Chapter and Conference Paper
Mining process models from workflow logs
Modern enterprises increasingly use the workflow paradigm to prescribe how business processes should be performed. Processes are typically modeled as annotated activity graphs. We present an approach for a sys...
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Chapter and Conference Paper
Discovery-driven exploration of OLAP data cubes
Analysts predominantly use OLAP data cubes to identify regions of anomalies that may represent problem areas or new opportunities. The current OLAP systems support hypothesis-driven exploration of data cubes t...
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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...
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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...
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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...
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Chapter and Conference Paper
Reducing page thrashing in recursive query processing
We introduce the problem of page thrashing in the seminaive algorithm for computing recursive queries. We present techniques that take into consideration the system's paging behavior during query computation t...
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Chapter and Conference Paper
Efficient similarity search in sequence databases
We propose an indexing method for time sequences for processing similarity queries. We use the Discrete Fourier Transform (DFT) to map time sequences to the frequency domain, the crucial observation being that...
