The kernel approach in the future of data mining: many subjective choices in a complex landscape L’Approccio Kernel Nel Futuro Del Data Mining: Molte Scelte Soggettive In Un Panorama Complesso

نویسندگان

  • Furio Camillo
  • Caterina Liberati
چکیده

Riassunto: Il nostro lavoro vuole fornire alcuni spunti di riflessione circa il possibile uso futuro dell’approccio kernel alla business intelligence. In letteratura sono noti i numerosi vantaggi di elevata perfomance, tuttavia la loro applicazione operativa risulta ancora difficoltosa a causa della grande quantità di scelte soggettive che il ricercatore è necessitato a fare. Si propone nel paper l’utilizzo della teoria della Complessità e vengono mostrate alcune applicazioni al micro-data mining.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Geometry Preserving Kernel over Riemannian Manifolds

Abstract- Kernel trick and projection to tangent spaces are two choices for linearizing the data points lying on Riemannian manifolds. These approaches are used to provide the prerequisites for applying standard machine learning methods on Riemannian manifolds. Classical kernels implicitly project data to high dimensional feature space without considering the intrinsic geometry of data points. ...

متن کامل

Extraction of Drug-Drug Interaction from Literature through Detecting Linguistic-based Negation and Clause Dependency

Extracting biomedical relations such as drug-drug interaction (DDI) from text is an important task in biomedical NLP. Due to the large number of complex sentences in biomedical literature, researchers have employed some sentence simplification techniques to improve the performance of the relation extraction methods. However, due to difficulty of the task, there is no noteworthy improvement in t...

متن کامل

Determination of optimal bandwidth in upscaling process of reservoir data using kernel function bandwidth

Upscaling based on the bandwidth of the kernel function is a flexible approach to upscale the data because the cells will be coarse-based on variability. The intensity of the coarsening of cells in this method can be controlled with bandwidth. In a smooth variability region, a large number of cells will be merged, and vice versa, they will remain fine with severe variability. Bandwidth variatio...

متن کامل

Linguaggio Segreto di Dante e dei Fedeli d'Amore

Nel panorama degli studi comparati fra la lirica romanza medievale e quella orientale uno degli esempi eclatanti che nella sua storia ormai pluridecennale ha suscitato molte polemiche e discussione è stato senza dubbio il rinomatissimo Linguaggio segreto di Dante e dei Fedeli d'Amoredi Luigi Valli. Il suddetto tomo, come asserisce l’editore della casa editrice Luni, pubblicato per la prima volt...

متن کامل

Composite Kernel Optimization in Semi-Supervised Metric

Machine-learning solutions to classification, clustering and matching problems critically depend on the adopted metric, which in the past was selected heuristically. In the last decade, it has been demonstrated that an appropriate metric can be learnt from data, resulting in superior performance as compared with traditional metrics. This has recently stimulated a considerable interest in the to...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006