-
Mining text data (2012)
0.01
0.014914395 = product of:
0.044743184 = sum of:
0.044743184 = product of:
0.08948637 = sum of:
0.08948637 = weight(_text_:multimedia in 362) [ClassicSimilarity], result of:
0.08948637 = score(doc=362,freq=8.0), product of:
0.21832302 = queryWeight, product of:
4.6372695 = idf(docFreq=1163, maxDocs=44218)
0.04708008 = queryNorm
0.40988058 = fieldWeight in 362, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
4.6372695 = idf(docFreq=1163, maxDocs=44218)
0.03125 = fieldNorm(doc=362)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Abstract
- Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.
- Content
- Inhalt: An Introduction to Text Mining.- Information Extraction from Text.- A Survey of Text Summarization Techniques.- A Survey of Text Clustering Algorithms.- Dimensionality Reduction and Topic Modeling.- A Survey of Text Classification Algorithms.- Transfer Learning for Text Mining.- Probabilistic Models for Text Mining.- Mining Text Streams.- Translingual Mining from Text Data.- Text Mining in Multimedia.- Text Analytics in Social Media.- A Survey of Opinion Mining and Sentiment Analysis.- Biomedical Text Mining: A Survey of Recent Progress.- Index.
- LCSH
- Multimedia systems
- Subject
- Multimedia systems
-
Chowdhury, G.G.: Template mining for information extraction from digital documents (1999)
0.01
0.014883636 = product of:
0.044650905 = sum of:
0.044650905 = product of:
0.08930181 = sum of:
0.08930181 = weight(_text_:22 in 4577) [ClassicSimilarity], result of:
0.08930181 = score(doc=4577,freq=2.0), product of:
0.16486642 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04708008 = queryNorm
0.5416616 = fieldWeight in 4577, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.109375 = fieldNorm(doc=4577)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Date
- 2. 4.2000 18:01:22
-
Lam, W.; Yang, C.C.; Menczer, F.: Introduction to the special topic section on mining Web resources for enhancing information retrieval (2007)
0.01
0.013050094 = product of:
0.039150283 = sum of:
0.039150283 = product of:
0.078300565 = sum of:
0.078300565 = weight(_text_:multimedia in 600) [ClassicSimilarity], result of:
0.078300565 = score(doc=600,freq=2.0), product of:
0.21832302 = queryWeight, product of:
4.6372695 = idf(docFreq=1163, maxDocs=44218)
0.04708008 = queryNorm
0.3586455 = fieldWeight in 600, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.6372695 = idf(docFreq=1163, maxDocs=44218)
0.0546875 = fieldNorm(doc=600)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Abstract
- The amount of information on the Web has been expanding at an enormous pace. There are a variety of Web documents in different genres, such as news, reports, reviews. Traditionally, the information displayed on Web sites has been static. Recently, there are many Web sites offering content that is dynamically generated and frequently updated. It is also common for Web sites to contain information in different languages since many countries adopt more than one language. Moreover, content may exist in multimedia formats including text, images, video, and audio.
-
KDD : techniques and applications (1998)
0.01
0.012757402 = product of:
0.038272206 = sum of:
0.038272206 = product of:
0.07654441 = sum of:
0.07654441 = weight(_text_:22 in 6783) [ClassicSimilarity], result of:
0.07654441 = score(doc=6783,freq=2.0), product of:
0.16486642 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04708008 = queryNorm
0.46428138 = fieldWeight in 6783, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.09375 = fieldNorm(doc=6783)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Footnote
- A special issue of selected papers from the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'97), held Singapore, 22-23 Feb 1997
-
Gluck , M.: Multimedia exploratory data analysis for geospatial data mining : the case for augmented seriation (2001)
0.01
0.011185795 = product of:
0.033557385 = sum of:
0.033557385 = product of:
0.06711477 = sum of:
0.06711477 = weight(_text_:multimedia in 5214) [ClassicSimilarity], result of:
0.06711477 = score(doc=5214,freq=2.0), product of:
0.21832302 = queryWeight, product of:
4.6372695 = idf(docFreq=1163, maxDocs=44218)
0.04708008 = queryNorm
0.30741042 = fieldWeight in 5214, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.6372695 = idf(docFreq=1163, maxDocs=44218)
0.046875 = fieldNorm(doc=5214)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
-
Haravu, L.J.; Neelameghan, A.: Text mining and data mining in knowledge organization and discovery : the making of knowledge-based products (2003)
0.01
0.009321497 = product of:
0.02796449 = sum of:
0.02796449 = product of:
0.05592898 = sum of:
0.05592898 = weight(_text_:multimedia in 5653) [ClassicSimilarity], result of:
0.05592898 = score(doc=5653,freq=2.0), product of:
0.21832302 = queryWeight, product of:
4.6372695 = idf(docFreq=1163, maxDocs=44218)
0.04708008 = queryNorm
0.25617537 = fieldWeight in 5653, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.6372695 = idf(docFreq=1163, maxDocs=44218)
0.0390625 = fieldNorm(doc=5653)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Abstract
- Discusses the importance of knowledge organization in the context of the information overload caused by the vast quantities of data and information accessible on internal and external networks of an organization. Defines the characteristics of a knowledge-based product. Elaborates on the techniques and applications of text mining in developing knowledge products. Presents two approaches, as case studies, to the making of knowledge products: (1) steps and processes in the planning, designing and development of a composite multilingual multimedia CD product, with the potential international, inter-cultural end users in view, and (2) application of natural language processing software in text mining. Using a text mining software, it is possible to link concept terms from a processed text to a related thesaurus, glossary, schedules of a classification scheme, and facet structured subject representations. Concludes that the products of text mining and data mining could be made more useful if the features of a faceted scheme for subject classification are incorporated into text mining techniques and products.
-
Matson, L.D.; Bonski, D.J.: Do digital libraries need librarians? (1997)
0.01
0.008504935 = product of:
0.025514804 = sum of:
0.025514804 = product of:
0.051029608 = sum of:
0.051029608 = weight(_text_:22 in 1737) [ClassicSimilarity], result of:
0.051029608 = score(doc=1737,freq=2.0), product of:
0.16486642 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04708008 = queryNorm
0.30952093 = fieldWeight in 1737, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0625 = fieldNorm(doc=1737)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Date
- 22.11.1998 18:57:22
-
Lusti, M.: Data Warehousing and Data Mining : Eine Einführung in entscheidungsunterstützende Systeme (1999)
0.01
0.008504935 = product of:
0.025514804 = sum of:
0.025514804 = product of:
0.051029608 = sum of:
0.051029608 = weight(_text_:22 in 4261) [ClassicSimilarity], result of:
0.051029608 = score(doc=4261,freq=2.0), product of:
0.16486642 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04708008 = queryNorm
0.30952093 = fieldWeight in 4261, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0625 = fieldNorm(doc=4261)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Date
- 17. 7.2002 19:22:06
-
Amir, A.; Feldman, R.; Kashi, R.: ¬A new and versatile method for association generation (1997)
0.01
0.008504935 = product of:
0.025514804 = sum of:
0.025514804 = product of:
0.051029608 = sum of:
0.051029608 = weight(_text_:22 in 1270) [ClassicSimilarity], result of:
0.051029608 = score(doc=1270,freq=2.0), product of:
0.16486642 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04708008 = queryNorm
0.30952093 = fieldWeight in 1270, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0625 = fieldNorm(doc=1270)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Source
- Information systems. 22(1997) nos.5/6, S.333-347
-
Hofstede, A.H.M. ter; Proper, H.A.; Van der Weide, T.P.: Exploiting fact verbalisation in conceptual information modelling (1997)
0.01
0.007441818 = product of:
0.022325452 = sum of:
0.022325452 = product of:
0.044650905 = sum of:
0.044650905 = weight(_text_:22 in 2908) [ClassicSimilarity], result of:
0.044650905 = score(doc=2908,freq=2.0), product of:
0.16486642 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04708008 = queryNorm
0.2708308 = fieldWeight in 2908, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0546875 = fieldNorm(doc=2908)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Source
- Information systems. 22(1997) nos.5/6, S.349-385
-
Lackes, R.; Tillmanns, C.: Data Mining für die Unternehmenspraxis : Entscheidungshilfen und Fallstudien mit führenden Softwarelösungen (2006)
0.01
0.006378701 = product of:
0.019136103 = sum of:
0.019136103 = product of:
0.038272206 = sum of:
0.038272206 = weight(_text_:22 in 1383) [ClassicSimilarity], result of:
0.038272206 = score(doc=1383,freq=2.0), product of:
0.16486642 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04708008 = queryNorm
0.23214069 = fieldWeight in 1383, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=1383)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Date
- 22. 3.2008 14:46:06
-
Hallonsten, O.; Holmberg, D.: Analyzing structural stratification in the Swedish higher education system : data contextualization with policy-history analysis (2013)
0.01
0.0053155846 = product of:
0.015946753 = sum of:
0.015946753 = product of:
0.031893507 = sum of:
0.031893507 = weight(_text_:22 in 668) [ClassicSimilarity], result of:
0.031893507 = score(doc=668,freq=2.0), product of:
0.16486642 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04708008 = queryNorm
0.19345059 = fieldWeight in 668, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=668)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Date
- 22. 3.2013 19:43:01
-
Vaughan, L.; Chen, Y.: Data mining from web search queries : a comparison of Google trends and Baidu index (2015)
0.01
0.0053155846 = product of:
0.015946753 = sum of:
0.015946753 = product of:
0.031893507 = sum of:
0.031893507 = weight(_text_:22 in 1605) [ClassicSimilarity], result of:
0.031893507 = score(doc=1605,freq=2.0), product of:
0.16486642 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04708008 = queryNorm
0.19345059 = fieldWeight in 1605, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=1605)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.1, S.13-22
-
Fonseca, F.; Marcinkowski, M.; Davis, C.: Cyber-human systems of thought and understanding (2019)
0.01
0.0053155846 = product of:
0.015946753 = sum of:
0.015946753 = product of:
0.031893507 = sum of:
0.031893507 = weight(_text_:22 in 5011) [ClassicSimilarity], result of:
0.031893507 = score(doc=5011,freq=2.0), product of:
0.16486642 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04708008 = queryNorm
0.19345059 = fieldWeight in 5011, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=5011)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Date
- 7. 3.2019 16:32:22
-
Peters, G.; Gaese, V.: ¬Das DocCat-System in der Textdokumentation von G+J (2003)
0.00
0.0042524673 = product of:
0.012757402 = sum of:
0.012757402 = product of:
0.025514804 = sum of:
0.025514804 = weight(_text_:22 in 1507) [ClassicSimilarity], result of:
0.025514804 = score(doc=1507,freq=2.0), product of:
0.16486642 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04708008 = queryNorm
0.15476047 = fieldWeight in 1507, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03125 = fieldNorm(doc=1507)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Date
- 22. 4.2003 11:45:36
-
Hölzig, C.: Google spürt Grippewellen auf : Die neue Anwendung ist bisher auf die USA beschränkt (2008)
0.00
0.0042524673 = product of:
0.012757402 = sum of:
0.012757402 = product of:
0.025514804 = sum of:
0.025514804 = weight(_text_:22 in 2403) [ClassicSimilarity], result of:
0.025514804 = score(doc=2403,freq=2.0), product of:
0.16486642 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04708008 = queryNorm
0.15476047 = fieldWeight in 2403, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03125 = fieldNorm(doc=2403)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Date
- 3. 5.1997 8:44:22
-
Jäger, L.: Von Big Data zu Big Brother (2018)
0.00
0.0042524673 = product of:
0.012757402 = sum of:
0.012757402 = product of:
0.025514804 = sum of:
0.025514804 = weight(_text_:22 in 5234) [ClassicSimilarity], result of:
0.025514804 = score(doc=5234,freq=2.0), product of:
0.16486642 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04708008 = queryNorm
0.15476047 = fieldWeight in 5234, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03125 = fieldNorm(doc=5234)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Date
- 22. 1.2018 11:33:49
-
Lischka, K.: Spurensuche im Datenwust : Data-Mining-Software fahndet nach kriminellen Mitarbeitern, guten Kunden - und bald vielleicht auch nach Terroristen (2002)
0.00
0.0031893505 = product of:
0.009568051 = sum of:
0.009568051 = product of:
0.019136103 = sum of:
0.019136103 = weight(_text_:22 in 1178) [ClassicSimilarity], result of:
0.019136103 = score(doc=1178,freq=2.0), product of:
0.16486642 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04708008 = queryNorm
0.116070345 = fieldWeight in 1178, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0234375 = fieldNorm(doc=1178)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Content
- "Ob man als Terrorist einen Anschlag gegen die Vereinigten Staaten plant, als Kassierer Scheine aus der Kasse unterschlägt oder für bestimmte Produkte besonders gerne Geld ausgibt - einen Unterschied macht Data-Mining-Software da nicht. Solche Programme analysieren riesige Daten- mengen und fällen statistische Urteile. Mit diesen Methoden wollen nun die For- scher des "Information Awaren in den Vereinigten Staaten Spuren von Terroristen in den Datenbanken von Behörden und privaten Unternehmen wie Kreditkartenfirmen finden. 200 Millionen Dollar umfasst der Jahresetat für die verschiedenen Forschungsprojekte. Dass solche Software in der Praxis funktioniert, zeigen die steigenden Umsätze der Anbieter so genannter Customer-Relationship-Management-Software. Im vergangenen Jahr ist das Potenzial für analytische CRM-Anwendungen laut dem Marktforschungsinstitut IDC weltweit um 22 Prozent gewachsen, bis zum Jahr 2006 soll es in Deutschland mit einem jährlichen Plus von 14,1 Prozent so weitergehen. Und das trotz schwacher Konjunktur - oder gerade deswegen. Denn ähnlich wie Data-Mining der USRegierung helfen soll, Terroristen zu finden, entscheiden CRM-Programme heute, welche Kunden für eine Firma profitabel sind. Und welche es künftig sein werden, wie Manuela Schnaubelt, Sprecherin des CRM-Anbieters SAP, beschreibt: "Die Kundenbewertung ist ein zentraler Bestandteil des analytischen CRM. Sie ermöglicht es Unternehmen, sich auf die für sie wichtigen und richtigen Kunden zu fokussieren. Darüber hinaus können Firmen mit speziellen Scoring- Verfahren ermitteln, welche Kunden langfristig in welchem Maße zum Unternehmenserfolg beitragen." Die Folgen der Bewertungen sind für die Betroffenen nicht immer positiv: Attraktive Kunden profitieren von individuellen Sonderangeboten und besonderer Zuwendung. Andere hängen vielleicht so lauge in der Warteschleife des Telefonservice, bis die profitableren Kunden abgearbeitet sind. So könnte eine praktische Umsetzung dessen aussehen, was SAP-Spreche-rin Schnaubelt abstrakt beschreibt: "In vielen Unternehmen wird Kundenbewertung mit der klassischen ABC-Analyse durchgeführt, bei der Kunden anhand von Daten wie dem Umsatz kategorisiert werden. A-Kunden als besonders wichtige Kunden werden anders betreut als C-Kunden." Noch näher am geplanten Einsatz von Data-Mining zur Terroristenjagd ist eine Anwendung, die heute viele Firmen erfolgreich nutzen: Sie spüren betrügende Mitarbeiter auf. Werner Sülzer vom großen CRM-Anbieter NCR Teradata beschreibt die Möglichkeiten so: "Heute hinterlässt praktisch jeder Täter - ob Mitarbeiter, Kunde oder Lieferant - Datenspuren bei seinen wirtschaftskriminellen Handlungen. Es muss vorrangig darum gehen, einzelne Spuren zu Handlungsmustern und Täterprofilen zu verdichten. Das gelingt mittels zentraler Datenlager und hoch entwickelter Such- und Analyseinstrumente." Von konkreten Erfolgen sprich: Entlas-sungen krimineller Mitarbeiter-nach Einsatz solcher Programme erzählen Unternehmen nicht gerne. Matthias Wilke von der "Beratungsstelle für Technologiefolgen und Qualifizierung" (BTQ) der Gewerkschaft Verdi weiß von einem Fall 'aus der Schweiz. Dort setzt die Handelskette "Pick Pay" das Programm "Lord Lose Prevention" ein. Zwei Monate nach Einfüh-rung seien Unterschlagungen im Wert von etwa 200 000 Franken ermittelt worden. Das kostete mehr als 50 verdächtige Kassiererinnen und Kassierer den Job.
-
Medien-Informationsmanagement : Archivarische, dokumentarische, betriebswirtschaftliche, rechtliche und Berufsbild-Aspekte ; [Frühjahrstagung der Fachgruppe 7 im Jahr 2000 in Weimar und Folgetagung 2001 in Köln] (2003)
0.00
0.0031893505 = product of:
0.009568051 = sum of:
0.009568051 = product of:
0.019136103 = sum of:
0.019136103 = weight(_text_:22 in 1833) [ClassicSimilarity], result of:
0.019136103 = score(doc=1833,freq=2.0), product of:
0.16486642 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04708008 = queryNorm
0.116070345 = fieldWeight in 1833, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0234375 = fieldNorm(doc=1833)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Date
- 11. 5.2008 19:49:22
-
Information visualization in data mining and knowledge discovery (2002)
0.00
0.0021262337 = product of:
0.006378701 = sum of:
0.006378701 = product of:
0.012757402 = sum of:
0.012757402 = weight(_text_:22 in 1789) [ClassicSimilarity], result of:
0.012757402 = score(doc=1789,freq=2.0), product of:
0.16486642 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04708008 = queryNorm
0.07738023 = fieldWeight in 1789, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.015625 = fieldNorm(doc=1789)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Date
- 23. 3.2008 19:10:22
