Sebanyak 532 item atau buku ditemukan

Empowering the Customer

The Citizen in Public Sector Reform

This publication explores some of these recent strategies based on Commonwealth best practice. It presents, among other things, guidelines on developing clients' charters, setting appropriate standards for public services, and meeting the expectations of the socially deprived.

This publication explores some of these recent strategies based on Commonwealth best practice.

Improving volatility estimation and options hedging strategies

Kajian ke atas kualiti air mentah dan air bersih serta pengurusan kualiti sumber air di Loji Air Kepong, Syarikat Air Terengganu Sdn. Bhd. (SATU)

Lebih jauh tentang Agnihotra

Veneration rites and ceremonies of Hindu Balinese.

'Semoga dalam negara ini, para brahmana (sarjana/ilmuwan) dan para
pemimpin melaksanakan tugas dengan baik untuk persatuan negara, selalu
makmur, jaya, dan sejahtera. Dengan keinginan melaksanakan yajha, di mana
para sarjana ...

Discourse Analyisis and Terminology in Languages for Specific Purposes/ Analisis del discurso y terminologia del lenguage para fines especificos

This important work collects studies and reflections on such relevant themes about LSP as medical English, the language of advertising and journalism, telecommunications, data processing terminology, trade and juridical English¿ Although most of the works are related to English, there are also works related to German or French among others. .

ISENBERG, H. (1983): «Cuestiones Fundamentales de Tipologia Textual», en
BERNARDEZ, E. (ed.), Linguistica del Texto, Madrid, Arco/Libro, 95-129.
KJNTSCH, W. (1982): «Text Representations», en OTTO, W. y S. WHITE (eds.),
Reading ...

Kewirausahaan masyarakat Sabang

studi kasus usaha kecil makanan ringan : laporan hasil penelitian

Implikasi kemampuan manajerial dan kewirausahaan terhadap keberhasilan usaha kecil kerajinan rotan di Kotamadya Bandung

laporan penelitian

Instance Selection and Construction for Data Mining

The ability to analyze and understand massive data sets lags far behind the ability to gather and store the data. To meet this challenge, knowledge discovery and data mining (KDD) is growing rapidly as an emerging field. However, no matter how powerful computers are now or will be in the future, KDD researchers and practitioners must consider how to manage ever-growing data which is, ironically, due to the extensive use of computers and ease of data collection with computers. Many different approaches have been used to address the data explosion issue, such as algorithm scale-up and data reduction. Instance, example, or tuple selection pertains to methods or algorithms that select or search for a representative portion of data that can fulfill a KDD task as if the whole data is used. Instance selection is directly related to data reduction and becomes increasingly important in many KDD applications due to the need for processing efficiency and/or storage efficiency. One of the major means of instance selection is sampling whereby a sample is selected for testing and analysis, and randomness is a key element in the process. Instance selection also covers methods that require search. Examples can be found in density estimation (finding the representative instances - data points - for a cluster); boundary hunting (finding the critical instances to form boundaries to differentiate data points of different classes); and data squashing (producing weighted new data with equivalent sufficient statistics). Other important issues related to instance selection extend to unwanted precision, focusing, concept drifts, noise/outlier removal, data smoothing, etc. Instance Selection and Construction for Data Mining brings researchers and practitioners together to report new developments and applications, to share hard-learned experiences in order to avoid similar pitfalls, and to shed light on the future development of instance selection. This volume serves as a comprehensive reference for graduate students, practitioners and researchers in KDD.

This volume serves as a comprehensive reference for graduate students, practitioners and researchers in KDD.

Advances in Knowledge Discovery and Data Mining

5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001. Proceedings

This book constitutes the refereed proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001, held in Hong Kong, China in April 2001. The 38 revised full papers and 22 short papers presented were carefully reviewed and selected from a total of 152 submissions. The book offers topical sections on Web mining, text mining, applications and tools, concept hierarchies, feature selection, interestingness, sequence mining, spatial and temporal mining, association mining, classification and rule induction, clustering, and advanced topics and new methods.

This book constitutes the refereed proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001, held in Hong Kong, China in April 2001.