Download Advances in Data Mining. Applications and Theoretical by Petra Perner PDF

By Petra Perner

This publication constitutes the refereed complaints of the 14th commercial convention on Advances in facts Mining, ICDM 2014, held in St. Petersburg, Russia, in July 2014. The sixteen revised complete papers provided have been conscientiously reviewed and chosen from quite a few submissions. the subjects variety from theoretical features of knowledge mining to purposes of information mining, corresponding to in multimedia info, in advertising, in drugs and agriculture and in approach regulate, and society.

Show description

Read Online or Download Advances in Data Mining. Applications and Theoretical Aspects: 14th Industrial Conference, ICDM 2014, St. Petersburg, Russia, July 16-20, 2014. Proceedings PDF

Similar data mining books

Twitter Data Analytics (SpringerBriefs in Computer Science)

This short presents equipment for harnessing Twitter information to find options to advanced inquiries. The short introduces the method of gathering information via Twitter’s APIs and gives thoughts for curating huge datasets. The textual content offers examples of Twitter info with real-world examples, the current demanding situations and complexities of creating visible analytic instruments, and the easiest techniques to deal with those concerns.

Overview of the PMBOK® Guide: Short Cuts for PMP® Certification

This ebook is for everybody who wishes a readable creation to most sensible perform venture administration, as defined by way of the PMBOK® advisor 4th variation of the undertaking administration Institute (PMI), “the world's best organization for the undertaking administration career. ” it truly is quite important for candidates for the PMI’s PMP® (Project administration specialist) and CAPM® (Certified affiliate of venture administration) examinations, that are primarily based at the PMBOK® consultant.

Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management

Elevate gains and decrease expenses by using this selection of types of the main frequently asked information mining questionsIn order to discover new how you can enhance shopper revenues and help, and in addition to deal with danger, enterprise managers has to be capable of mine corporation databases. This ebook offers a step by step consultant to making and enforcing types of the main frequently asked information mining questions.

Analysis and Enumeration: Algorithms for Biological Graphs

During this paintings we plan to revise the most strategies for enumeration algorithms and to teach 4 examples of enumeration algorithms that may be utilized to successfully care for a few organic difficulties modelled by utilizing organic networks: enumerating primary and peripheral nodes of a community, enumerating tales, enumerating paths or cycles, and enumerating bubbles.

Extra info for Advances in Data Mining. Applications and Theoretical Aspects: 14th Industrial Conference, ICDM 2014, St. Petersburg, Russia, July 16-20, 2014. Proceedings

Example text

11, 12]. The following features were implemented for training of classifiers: tokens, URL elements, structural patterns, association of abbreviations with full words combinations. SVM and MEM were used for classifier training. 42 I. Kotenko et al. Among relevant publications that explore aspects of SVM for web page classification we also mark works of Joachims [10], Dumais et al. [7] and Yang et al. [31]. Yang et al. also apply kNN, used by Calado et al. [3] and Lam et al. [19]. More information about applying NB can be found in the works by already mentioned Joachims [10], Dumais et al.

Its essence lies in the definition of the category of the classified web page based on analyzing links that other web pages make to this one. Calculation of relation level of web pages containing links to a particular category is done. The classification is performed by nine categories. In general, it should be noted that most often used features that are applied for web page classification are extracted from the page text content. For instance, Dumais and Chen [6] separated concepts of web page text, header information and descriptive information service tag “meta”.

Fig. 6. Comparision between the performance of several supervised, semi-supervised and unsupervised methods, where our unsupervised method, UNERD, outperforms S2, S3 and S4 when trained on a small amount of annotated data, that outperform the mere dictionary-lookup (S1) 7 Conclusion and Future Work The unsupervised use of dictionary-lookup is known to enhance NER, however dictionaries have limitations for being finite and ambiguous. On the other hand, supervised NER such as Stanford’s NER Classifier that we tested here is known to perform very well but only with the availability of huge amounts of manually annotated training data that is very costly, time consuming and sometimes inaccurate due to inter-annotator inconcistencies.

Download PDF sample

Rated 4.57 of 5 – based on 47 votes