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438
Datenmodells mit deduktiven Regeln in
, 1999
"... Unserem Betreuer, Prof. Dr. Rainer Manthey, danken wir für die vielen Stunden, die er mit der Betreuung unserer Diplomarbeit verbracht hat. Andreas Behrend danken wir für die hilfreiche Unterstützung bei der Lösung von Prolog und OracleProblemen. Bei Stefan Schubert möchten wir uns für seine hervo ..."
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Unserem Betreuer, Prof. Dr. Rainer Manthey, danken wir für die vielen Stunden, die er mit der Betreuung unserer Diplomarbeit verbracht hat. Andreas Behrend danken wir für die hilfreiche Unterstützung bei der Lösung von Prolog und OracleProblemen. Bei Stefan Schubert möchten wir uns für seine
Incremental ViewBased Analysis of Stock Market Data Streams
"... behrend,dorau,manthey,schuelle ..."
Social Information Retrieval
, 2005
"... In this diploma thesis, we research whether the inclusion of information about an information user’s social environment and his position in the social network of his peers leads to an improval in search effectiveness. Traditional information retrieval methods fail to address the fact that informatio ..."
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Cited by 1 (0 self)
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and for invaluable discussions and advice. Further thanks to Andreas Behrend, Julia
The Acquisition of Lexical Semantics for Spatial Terms: A Connectionist Model of Perceptual Categories
, 1992
"... This thesis describes a connectionist model which learns to perceive spatial events and relations in simple movies of 2dimensional objects, so as to name the events and relations as a speaker of a particular natural language would. Thus, the model learns perceptually grounded semantics for natura ..."
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Cited by 44 (2 self)
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This thesis describes a connectionist model which learns to perceive spatial events and relations in simple movies of 2dimensional objects, so as to name the events and relations as a speaker of a particular natural language would. Thus, the model learns perceptually grounded semantics for natural language spatial terms. Natural languages differ  sometimes dramatically  in the ways in which they structure space. The aim here has been to have the model be able to perform this learning task for terms from any natural language, and to have learning take place in the absence of explicit negative evidence, in order to rule out ad hoc solutions and to approximate the conditions under which children learn. The central focus of this thesis is a...
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"... ii This dissertation examines the role of German culture – theatre, music, opera, politics, and philosophy – as a catalyst to the modernist transformations of London theatre between 1890 and 1918. It explores the ways British theatre engaged German culture, whether by emulation, adaptation, or resis ..."
Rational curves on hypersurfaces of low degree
 J. REINE ANGEW. MATH. 571 (2004), 73—106
, 2004
"... We prove that for n> 2 and d <,ageneral complex hypersurface 2 X H P n of degree d has the property that for each integer e the scheme ReðXÞ parametrizing degree e, smooth rational curves on X is an integral, local complete intersection scheme of ‘‘expected’ ’ dimension ðn þ 1 dÞe þðn 4Þ. The ..."
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Cited by 21 (7 self)
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We prove that for n> 2 and d <,ageneral complex hypersurface 2 X H P n of degree d has the property that for each integer e the scheme ReðXÞ parametrizing degree e, smooth rational curves on X is an integral, local complete intersection scheme of ‘‘expected’ ’ dimension ðn þ 1 dÞe þðn 4Þ. The techniques used in the proof include: (1) Classical results about lines on hypersurfaces including a new result about flatness of the projection map from the space of pointed lines. (2) The Kontsevich moduli space of stable maps, M0; rðX; eÞ. In particular we use the deformation theory of stable maps, properness of the stack M0; rðX; eÞ, and the decomposition of M0; rðX; eÞ described in [2]. (3) A version of Mori’s bendandbreak lemma.
TinTO: A Tool for the ViewBased Analysis of Streams of Stock Market Data
"... Abstract. TinTO is an experimental system aiming at demonstrating the usefulness and feasibility of applying conventional SQL queries for analyzing a wide spectrum of data streams. As application area we have chosen the analysis of streams of stock market data, mainly because this kind of applicatio ..."
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Cited by 2 (2 self)
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Abstract. TinTO is an experimental system aiming at demonstrating the usefulness and feasibility of applying conventional SQL queries for analyzing a wide spectrum of data streams. As application area we have chosen the analysis of streams of stock market data, mainly because this kind of application exhibits sufficiently many of those characteristics for which relational query technology can be reasonably considered in a stream context. TinTO is a technical investor tool for computing socalled technical indicators, numerical values calculated from a certain kind of stock market data, characterizing the development of stock prices over a given time period. In contrast to other approaches, TinTO computes indicator values directly over the database by means of SQL queries/views. 1 Technical Analysis of Stock Market Data Technical analysis is concerned with the prediction of future developments of stock market prices. In contrast to fundamental analysis, it is solely based on
Update propagation in deductive databases using soft stratification
 Proceedings of ADBIS'04, LNCS 3255
, 2004
"... Abstract. Update propagation in deductive databases can be implemented by combining rule rewriting and fixpoint computation, analogous to the way how query answering is performed via Magic Sets. For efficiency reasons, bottomup propagation rules have to be subject to Magic rewriting, thus possibly ..."
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Cited by 10 (6 self)
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Abstract. Update propagation in deductive databases can be implemented by combining rule rewriting and fixpoint computation, analogous to the way how query answering is performed via Magic Sets. For efficiency reasons, bottomup propagation rules have to be subject to Magic rewriting, thus possibly loosing stratifiability. We propose to use the soft stratification approach for computing the wellfounded model of the magic propagation rules (guaranteed to be twovalued) because of the simplicity and efficiency of this technique. 1
TInTo: A Tool for ViewBased Analysis of Stock Market Data Streams
"... Abstract: TinTO is an experimental system aiming at demonstrating the usefulness and feasibility of incrementally evaluated SQL queries for analyzing a wide spectrum of data streams. As application area we have chosen the technical analysis of stock market data, mainly because this kind of applicati ..."
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Abstract: TinTO is an experimental system aiming at demonstrating the usefulness and feasibility of incrementally evaluated SQL queries for analyzing a wide spectrum of data streams. As application area we have chosen the technical analysis of stock market data, mainly because this kind of application exhibits sufficiently many of those characteristics for which relational query technology can be reasonably considered in a stream context. TinTO is a technical investor tool for computing socalled technical indicators, numerical values calculated from a certain kind of stock market data, characterizing the development of stock prices over a given time period. Update propagation is employed for the incremental recomputation of indicator views defined over a stream of continuously changing price data. 1 Technical Analysis of Stock Market Data Technical analysis (TA) is concerned with the prediction of future developments of stock market prices. TA uses socalled technical indicators, numerical values derived from the past development of prices of a certain stock. In principle, indicators are functions applied to the price history of a certain stock and a point in time. A technical analyst is usually interested in the change of indicator values over a certain time period in order to automatically derive buy or sell signals for stocks. The stream of timestamped price data is an ordered appendonly stream provided by a stock market such as the New York stock exchange. In general, indicator computation is based on a division of a stocks price history into consecutive time intervals ti of equal length. Interval length is userdefined and usually ranges from 1 second to as long as one year. For each time interval, the mean average is determined representing the typical price TP of stock s with respect to ti. A technical indicator definition is based on these values and an additional userdefined parameter n specifying the number of consecutive time intervals under consideration. As an example, consider the commodity channel index (CCI) which is an overbought/oversold indicator, whose value typically oscillates around zero:
TInTo: ATool forViewBased Analysis of Stock Market Data Streams
"... Abstract: TinTO isanexperimental system aiming at demonstrating the usefulness and feasibility of incrementally evaluated SQL queries for analyzing awide spectrum of data streams. As application area we have chosen the technical analysis of stock market data, mainly because this kind of application ..."
Abstract
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Abstract: TinTO isanexperimental system aiming at demonstrating the usefulness and feasibility of incrementally evaluated SQL queries for analyzing awide spectrum of data streams. As application area we have chosen the technical analysis of stock market data, mainly because this kind of application exhibits sufficiently many of those characteristics for which relational query technology can be reasonably considered in astream context. TinTOisatechnical investor tool for computing socalled technical indicators, numerical values calculated from acertain kind of stock market data, characterizing the development of stock prices over agiven time period. Update propagation is employed for the incremental recomputationofindicator views defined over astream of continuously changing price data. 1 Technical Analysis of Stock Market Data Technical analysis (TA) is concerned with the prediction of future developments of stock market prices. TA uses socalled technical indicators, numerical values derived from the past development of prices of acertain stock. In principle, indicators are functions applied to the price history of acertain stock and apoint in time. Atechnical analyst is usually interested in the change of indicator values over acertain time period in order to automatically derive buy orsell signals for stocks. The stream of timestamped price data is an ordered appendonly stream provided by astock market such as the New York stock exchange. In general, indicator computation is based on adivision of astocks price history into consecutive time intervals ti of equal length. Interval length is userdefined and usually ranges from 1second to as long as one year. For each time interval, the mean average is determined representing the typical price TP of stock s with respect to ti. Atechnical indicator definition is based on these values and an additional userdefined parameter n specifying the number of consecutive time intervals under consideration. As an example, consider the commodity channel index (CCI) which is an overbought/oversold indicator, whose value typically oscillates around zero: CCIn(s, ti):=
Results 1  10
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438