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  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.23
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  2. Malsburg, C. von der: ¬The correlation theory of brain function (1981) 0.20
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    Abstract
    A summary of brain theory is given so far as it is contained within the framework of Localization Theory. Difficulties of this "conventional theory" are traced back to a specific deficiency: there is no way to express relations between active cells (as for instance their representing parts of the same object). A new theory is proposed to cure this deficiency. It introduces a new kind of dynamical control, termed synaptic modulation, according to which synapses switch between a conducting and a non- conducting state. The dynamics of this variable is controlled on a fast time scale by correlations in the temporal fine structure of cellular signals. Furthermore, conventional synaptic plasticity is replaced by a refined version. Synaptic modulation and plasticity form the basis for short-term and long-term memory, respectively. Signal correlations, shaped by the variable network, express structure and relationships within objects. In particular, the figure-ground problem may be solved in this way. Synaptic modulation introduces exibility into cerebral networks which is necessary to solve the invariance problem. Since momentarily useless connections are deactivated, interference between di erent memory traces can be reduced, and memory capacity increased, in comparison with conventional associative memory
    Source
    http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
  3. Schrodt, R.: Tiefen und Untiefen im wissenschaftlichen Sprachgebrauch (2008) 0.20
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    Content
    Vgl. auch: https://studylibde.com/doc/13053640/richard-schrodt. Vgl. auch: http%3A%2F%2Fwww.univie.ac.at%2FGermanistik%2Fschrodt%2Fvorlesung%2Fwissenschaftssprache.doc&usg=AOvVaw1lDLDR6NFf1W0-oC9mEUJf.
  4. Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.20
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    Source
    https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
  5. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.19
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    Content
    Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
  6. Suchenwirth, L.: Sacherschliessung in Zeiten von Corona : neue Herausforderungen und Chancen (2019) 0.19
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    Footnote
    https%3A%2F%2Fjournals.univie.ac.at%2Findex.php%2Fvoebm%2Farticle%2Fdownload%2F5332%2F5271%2F&usg=AOvVaw2yQdFGHlmOwVls7ANCpTii.
  7. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.17
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    Content
    Vgl.: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5386707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5386707.
  8. Barnett, G.A.; Danowski, J.A.; Richards, W.D.: Communication networks and network analysis : a current assessment (1993) 0.16
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    Abstract
    Introduces an issues devoted to communication networks and network analysis. Discusses the historical limitations of communication network research and its limits within the specialty of network analysis
    Source
    Progress in communication science. 12(1993) S.1-19
  9. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.15
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    Footnote
    Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
  10. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.15
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  11. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.15
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  12. Arms, C.R.: ¬A new information infrastructure (1990) 0.14
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    Abstract
    Recommends that librarians apply their expertise to the changing world of information communication and adopt their services to the increasing exploration of cooperation and networking of computerised information services. Traces the development of Internet, BITNET and similar networks and outlines the proposal structure of a future Digital Library System.
    Source
    Online. 14(1990) no.5, S.15-22
  13. Donsbach, W.: Wahrheit in den Medien : über den Sinn eines methodischen Objektivitätsbegriffes (2001) 0.12
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    Source
    Politische Meinung. 381(2001) Nr.1, S.65-74 [https%3A%2F%2Fwww.dgfe.de%2Ffileadmin%2FOrdnerRedakteure%2FSektionen%2FSek02_AEW%2FKWF%2FPublikationen_Reihe_1989-2003%2FBand_17%2FBd_17_1994_355-406_A.pdf&usg=AOvVaw2KcbRsHy5UQ9QRIUyuOLNi]
  14. Woelfel, J.; Stoyanoff, N.J; Richards, W.D.: Conversational networks (1993) 0.12
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    Abstract
    Explores the extent to which simple artificial cognitive or neural network models can model individual and collective conversations. Considers unidimensional networks and multidimensional conversational networks
    Source
    Progress in communication science. 12(1993) S.223-246
  15. Woelfel, J.: Cognitive processes and communication networks : a general theory (1993) 0.12
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    Abstract
    Part of an issue devoted to communication networks and network analysis. Demonstrates the applicability of the network concept for the description of both cognitive and social processes. Networks are a set of interrelated nodes, classified according to the characteristics of the nodes and the relationships among them. Historically they have been categorized as social networks, when the nodes were specified as individuals or higher level systems; cognitve or neural networks, when the nodes were considers words; symbols of any other representation; and communication networks, when the realtionships among the nodes involved the transfer of information rather than affect, power or social prestige. Attempts to intergarte these perspectives
    Source
    Progress in communication science. 12(1993) S.21-42
  16. Cruz, J.M.B.; Garcia, J.A.C.; Lopez, R.F.: Preprints: communication through electronic nets : an example of bibliographic control (1996) 0.11
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    Abstract
    Lists the characteristics of preprints of scientific articles that qualify them as grey literature and notes the way in which advances in electronic publishing, such as the Internet and WWW are modifying the traditional role of preprints in the process of scientific communication. Concludes that electronic networks have radically changed the conventional preprint distribution, shortening to minutes the time a working paper needs to go from the author to the user
    Date
    24. 7.1996 20:50:22
  17. Susaki, S.; Muramoto, T.: Information sharing system on the WWW with interactive communication (1998) 0.11
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    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 30(1998) nos.1/7, S.747-749
  18. Sonnenwald, D.H.: Evolving perspectives of human information behaviour : contexts, situations, social networks and information horizons (1999) 0.11
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    Abstract
    This paper presents an evolving framework for human information behaviour, including information exploration, seeking, filtering, use and dissemination. It is based on empirical studies of human information behaviour in a variety of settings (Iivonen & Sonnenwald, 1998; Sonnenwald, 1993, 1995, 1996) and theories from a variety of research traditions, including information science, communication, sociology and psychology that inform our understanding of human information behaviour. I begin formulating the framework by discussing fundamental concepts, such as context, situation and social networks. Building on these concepts, I propose a series of propositions that strive to elucidate the framework. Key ideas in the framework include the introduction of the role of social networks in information exploration, and the concept of an `information horizon' in which we can act to explore information.
    Date
    22. 3.2002 9:46:09
  19. Newby, G.B.: ¬The maturation of norms for computer-mediated communication (1993) 0.10
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    Abstract
    Analyzes the communication norms of the major forms of computer-mediated communication. These forms include electronic mail, mailing lists, Usenet newsgroups, virtual environment, interactive massaging, and information services. Norms are the dominant standards for acceptable behaviour of a group of people. Each form of communication has a set of norms, which may be adjusted somewhat for a particular instance of communication for particular participants. new users of computer networks will find that the forms of the communication forums they may join are well established, but they will have the opportunity to create or participate in new forums where those norms may be somewhat different
  20. Agosto, D.E.; Abbas, J.; Naughton, R.: Relationships and social rules : teens' social network and other ICT selection practices (2012) 0.09
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    Abstract
    The issue of how teens choose social networks and information communication technologies (ICT's) for personal communication is complex. This study focused on describing how U.S. teens from a highly technological suburban high school select ICT's for personal communication purposes. Two research questions guided the study: (a) What factors influence high school seniors' selection of online social networks and other ICT's for everyday communication? (b) How can social network theory (SNT) help to explain how teens select online social networks and other ICT's for everyday communication purposes? Using focus groups, a purposive sample of 45 teens were asked to discuss (a) their preferred methods for communicating with friends and family and why, (b) the reasons why they chose to engage (or not to engage) in online social networking, (c) how they selected ICT's for social networking and other communication purposes, and (d) how they decided whom to accept as online "friends." Findings indicated that many factors influenced participants' ICT selection practices including six major categories of selection factors: relationship factors, information/communication factors, social factors, systems factors, self-protection factors, and recipient factors. SNT was also helpful in explaining how "friendship" was a major determining factor in their communication media and platform choices.

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