BibSonomy publications for /concept/tag/listWed Oct 08 01:00:12 CEST 2008bloggerthe best search engines 2008financial resources encylopedia engine watch one engines web list the education in meta of tools search directories best seo feed government multiple all Thu Jun 19 17:46:40 CEST 2008LondonGECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation7-11 July1686--1693Graph structured program evolution22007factorial, a automatic list reversing graph programming, sequence, genetic exponentiation, Fibonacci algorithms, based In recent years a lot of Automatic Programming techniques have developed. A typical example of Automatic Programming is Genetic Programming (GP), and various extensions and representations for GP have been proposed so far. However, it seems that more improvements are necessary to obtain complex programs automatically. In this paper we proposed a new method called Graph Structured Program Evolution (GRAPE). The representation of GRAPE is graph structure, therefore it can represent complex programs (e.g. branches and loops) using its graph structure. Each program is constructed as an arbitrary directed graph of nodes and data set. The GRAPE program handles multiple data types using the data set for each type, and the genotype of GRAPE is the form of a linear string of integers. We apply GRAPE to four test problems, factorial, Fibonacci sequence, exponentiation and reversing a list, and demonstrate that the optimum solution in each problem is obtained by the GRAPE system.Fri May 30 16:42:01 CEST 2008Das betriebswirtschaftliche Gedankengebäude von Friedrich List : ein Beitrag zur Geschichte der Betriebswirtschaftlehre1977Betriebswirtschaftslehre Friedrich_<Wirtschaftswissenschaftler> List Fri May 30 16:42:01 CEST 2008Duncker & HumblotBerlin [u.a.]Friedrich List1949Friedrich_<Wirtschaftswissenschaftler> List Fri May 30 16:42:01 CEST 2008FischerJenaList und Marx : eine vergleichende Betrachtung1928Marx Friedrich_<Wirtschaftswissenschaftler> Wirtschaftstheorie Karl List Thu May 29 13:24:55 CEST 2008Techn. Univ., Fak. Verkehrswiss. Friedrich ListDresdenVortragsveranstaltung aus Anlaß des 150. Todestages von Friedrich List : am 30. November 19961996Friedrich_<Wirtschaftswissenschaftler> List Wed Apr 23 22:05:04 CEST 2008Signal ProcessingMar3511--515An efficient parallel algorithm for list Viterbi decoding832003Viterbi list Parallel algorithm Fri Jan 11 15:51:16 CET 2008Irvine, CAProc. 5th Workshop on Hot Topics in Networks79--84Exploiting Social Networks for Internet Search 2006social-network social-search web list Fri Jan 11 15:38:18 CET 2008Florida, US6thThe analysis of time series: an introduction2004time-series book list Fri Jan 11 15:36:08 CET 2008Banff, CanadaProc. WWW '07501-510Optimizing web search using social annotations2007annotation pagerank social-search list ranking Fri Jan 11 15:21:13 CET 2008Banff, CanadaProc. WWW'16161--170Why We Search: Visualizing and Predicting User Behavior2007time-series msn DTW list correlation The aggregation and comparison of behavioral patterns on the WWW represent a tremendous opportunity for understanding past behaviors and predicting future behaviors. In this paper, we take a first step at achieving this goal. We present a large scale study correlating the behaviors of Internet users on multiple systems ranging in size from 27 million queries to 14 million blog posts to 20,000 news articles. We formalize a model for events in these time-varying datasets and study their correlation. We have created an interface for analyzing the datasets, which includes a novel visual artifact, the DTWRadar, for summarizing differences between time series. Using our tool we identify a number of behavioral properties that allow us to understand the predictive power of patterns of use.Tue Oct 02 14:39:02 CEST 2007New York, NY, USAProc. SIGMOD '04131--142Identifying similarities, periodicities and bursts for online search queries2004time-series msn fourier periodicity list burst Tue Oct 02 14:38:23 CEST 2007Proc. 1st Intl. Conf. on Scalable Information Systems{A picture of search}2006aol search dataset list Tue Oct 02 14:37:18 CEST 2007Brisbane, AustraliaWWW'98161--172The {P}age{R}ank citation ranking: Bringing order to the Web1998ir pagerank search list ranking Tue Oct 02 14:35:13 CEST 2007New York, NY, USAProc. WWW'052--11Semantic similarity between search engine queries using temporal correlation2005query temporal www list correlation Mon Sep 24 17:59:16 CEST 2007Honolulu, HawaiiProceedings of the Eleventh International World Wide Web ConferenceMayTopic-sensitive PageRank2002topic personalization pagerank search list Mon Sep 24 16:10:39 CEST 2007International Semantic Web Conference522-536LNCSOntologies Are Us: A Unified Model of Social Networks and Semantics2005logbib list folksonomy ontology Mon Sep 03 16:58:12 CEST 2007New York, NY, USACIKM '06: Proceedings of the 15th ACM international conference on Information and knowledge management836--837Measuring the meaning in time series clustering of text search queries2006time-series msnsearch query list correlation We use a combination of proven methods from time series analysis and machine learning to explore the relationship between temporal and semantic similarity in web query logs; we discover that the combination of correlation and cycles is a good, but not perfect, sign of semantic relationship.Mon Sep 03 14:31:02 CEST 2007Tarrytown, NY, USAInformation Processing and Management: an International Journal4677--691New measurements for search engine evaluation proposed and tested402004ir benchmark list evaluation A set of measurements is proposed for evaluating Web search engine performance. Some measurement are adapted from the concepts of recall and precision, which are commonly used in evaluating traditional information retrieval systems. Others are newly developed to evaluate search engine stability, an issue unique to Web information retrieval systems. An experiment was conducted to test these new measurements by applying them to a performance comparison of three commercial search engines: Google, AltaVista, and Teoma. Twenty-four subjects ranked four sets of Web pages and their rankings were used as benchmarks against which to compare search engine performance. Results show that the proposed measurements are able to distinguish search engine performance very well.Mon Sep 03 14:29:35 CEST 2007Proceedings of the 13th international conference on World Wide Webconf/www/200413-19Understanding user goals in web search.2004user-goals query search-behaviour web list