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The problem of choosing the utmost useful features from hundreds of features from time-series user click data arises in online advertising toward fraudulent publisher's classification. Selecting feature subsets is a key issue in such classification tasks. Practically, the use of filter approaches is common; however, they neglect the correlations amid features. Conversely, wrapper approaches could not be applied due to their complexities. Moreover, in particular, existing feature selection methods could not handle such data, which is one of the major causes of instability of feature selection.

To overcome such issues, a majority voting-based hybrid feature selection method, namely feature distillation and accumulated selection (FDAS), is proposed to investigate the optimal subset of relevant features for analyzing the publisher's fraudulent conduct. FDAS works in two phases: (1) feature distillation, where significant features from standard filter and wrapper feature selection methods are obtained using majority voting; (2) accumulated selection, where we enumerated an accumulated evaluation of relevant feature subset to search for an optimal feature subset using effective machine learning (ML) models.

Empirical results prove enhanced classification performance with proposed features in average precision, recall, f1-score and AUC in publisher identification and classification.

The FDAS is evaluated on FDMA2012 user-click data and nine other benchmark datasets to gauge its generalizing characteristics, first, considering original features, second, with relevant feature subsets selected by feature selection (FS) methods, third, with optimal feature subset obtained by the proposed approach. ANOVA significance test is conducted to demonstrate significant differences between independent features.

The aim of this paper is to examine the evolution and development of the selection process and methods used by the Chinese government for appointing public officials.

The paper adopts an approach combining literature and document reviews with discussion with field experts.

China has a long history of selecting the most able individuals for government officials. During the political turmoil of the twentieth century, this was abandoned for ideological reasons. Current selection criteria and process are increasingly based on solid psychology and management approaches.

This paper is an overview of developments in Chinese government official selection approaches and process.

It may serve as a baseline for future research and practice on exploring sound and institutionalized selection methods and processes.

This is an initial attempt to explore senior Chinese officials' selection process.

The importance of selection in the accounting environment is of particular relevance as accounting is a service function which relies heavily on human resources, and its future depends on its ability to attract, train and retain the best and most capable people. A graduate entrant into a professional accountancy office constitutes a major investment involving substantial outlay to cover the costs of recruitment, training and replacement. The external training cost is easy to quantify; however the quantification of the opportunity cost is more difficult. Both these costs rise if the graduate fails to proceed through the examination system without resits or fails to qualify altogether, resulting in a human capital loss for the firm and a personal loss for the candidate. Analyses and discusses the results of a survey into the selection techniques of professional accountancy firms which are training students under the Institute of Chartered Accountants of Scotland System. Centres on the need for and method of pre‐selection, together with selection techniques and their relative success. Concludes that adopting statistical procedures to process biodata for subsequent candidate performance will have ramifications for the firms, the trainees and the profession as a whole.

Stakeholders affiliated with healthcare services should understand patient attitudes and criteria that are involved in selecting a personal physician. The purpose of this paper is to identify the factors that are significant to patients in selecting or deselecting physicians as providers of healthcare services.

The research structure was set to theorize the physician selection criteria (PSC) model into two phases. The first phase developed a conceptual model as revealed from healthcare consumer perceptions. The second phase was designed to test and validate the model through cause–effect statistical analysis underpinned by theoretical explanations through an empirical study.

Through an empirical study of benchmarking perceptions of people from 15 different countries, qualitative PSC were gathered and used to formulate an initial PSC model. Based on the proposed model, a validity test was conducted, and finally, the PSC model was developed, resulting in several interesting and self-explanatory outcomes.

The model was tested in only one (relatively cosmopolitan) city. For proper generalization, it should be tested in countries with differing healthcare service systems.

The results of this study are interesting, important and have potential values to academics and medical professionals. The study provides strong evidence that a physician’s external approach to patients is the most significant issue for patients seeking medical services. This does not refer to basic medical services, but rather the treatment process, where the physician’s behavior and positive attitude has the strongest effect on the patient’s decision to choose one physician over others.

Final PSC model has identified some significant theoretical explanations for academics and professional justifications for practitioners.

Considers the historical dimension of the treatment of fiction in libraries and concludes that, if fiction is regarded as a resource, library users are entitled to enhanced access to it. Notes that enhancing access to fiction is widely regarded in the profession as unacceptably labour‐intensive, but suggests that readers are favourably impressed by an expert system which requires relatively little input effort on the part of the library staff. Describes the idea of a “user profile” and its restricted implementation in a prototype system. Describes plans for further development of the prototype system.

The purpose of this paper is to demonstrate that libraries do not inevitably arise from the aggregation of information, and to apply this result to critique the meaningfulness of the idea of a “digital library.”

Three independent arguments demonstrate that libraries are more than the sum of the books that they contain: first, the logical argument, which analyses the internal consistency of claims for the superiority of electronic formats; second, the semantic argument, which examines ordinary language to isolate the core requirements of what it means to be a “library”; and third, the ethical argument, which identifies the source of the unique phenomenological experience of encounter with the library.

It is found that the three arguments each refute the view that “library” is the collective noun for “book,” and argue instead that it is an emergent concept that offers to its community a reflection of the local cultural knowledge through the ordinary selection and organization practices that distinguish libraries from other book accumulations. Against that understanding the idea of a comprehensive and universal digital library fails on the essential criteria of selectivity and organization. While such products can be powerfully useful, they offer something distinct from libraries. When we lose sight of this difference we risk losing the inherent and irreducible values embodied by libraries.

The paper's arguments provide a reasoned infrastructure to several beliefs that are both common and unexamined.

Knowledge creation (KC) is an important issue in a knowledge society. Organizational change is required to facilitate KC which embraces knowledge access and selection, knowledge diffusion, knowledge application, and knowledge storage. In this paper, three momenta of organizational change are reviewed and integrated. Knowledge access and selection driven by institutional regulation takes place in the beginning phase, knowledge diffusion and knowledge application driven by rationality in the subsequent phase, and knowledge storage driven by structural inertia in the last phase. Once the right momentum influences organizational change in the wrong phase, KC can rarely be accomplished.

This paper aims to develop methods for generating disassembly tasks for selective disassembly. The disassembly task contains the disassembly information, namely, disassembly direction, disassembly tool and selective disassembly sequence.

Ontology is adopted to represent the product, and ontology rules are used to represent the disassembly knowledge. A product ontology model (POM) is introduced on the basis of material, connection matrix and interference matrix. Two types of disassembly knowledge are taken into account, one is the disassembly knowledge of disassembly tool selection and the other is the disassembly knowledge of special connections. Based on the POM and the disassembly knowledge, decision support methods are designed to generate disassembly tasks.

A centrifugal pump is used to demonstrate the proposed methods, and the result shows that the methods work well.

The methods developed in this study are fundamental approaches. The ontology and the ontology rules can be extended with more disassembly knowledge.

The main contribution of this research is the development of methods for representing disassembly knowledge based on ontology rules and the decision support methods for generating disassembly tasks.

The selection of a food service system (cook‐chill, cook‐freeze and cook‐hot‐hold) is a major strategic initiative, which involves a large capital investment. Each system has specific advantages and disadvantages and each is most suited to a particular set of operational conditions. The paper provides an inventory of data on the efficiency of the systems, identifies deficiencies as well as future needs and tools in the research in this field.

An overview of the studies supporting the decision‐making process – the identification of the need for a system, evaluation of different systems, system selection, implementation and analysis of outcomes.

The paper demonstrates the lack of up‐to‐date objective data substantiating the benefits of the systems in the commercial and institutional hospitality sectors. It suggests a conceptual framework linking food preparation technologies with the elements of strategic marketing as well as statistical techniques, which can be used in the development of a model describing these relationships. Total productivity can be used as an indicator of the overall performance of a system.

Future studies should address the need for quantitative assessment of the aggregate effect of operational and financial factors including those related to construction, menu design, productivity and food quality.

The analysis of inputs/outputs and the possible research methodologies would be of interest to researches and educators, industry practitioners and other stakeholders in the efficient food provision in the tourism/hospitality/institutional sectors.

A questionnaire‐based survey was conducted to establish the current market requirements for lamb and those likely in the future. Two questionnaires were produced and sent to the largest lamb abattoirs and retailers in the UK. Current markets generally require a carcass of weight 16‐21kg, conformation E‐R and fat score 2 or 3L. The forecast for future requirements was not clear, but some respondents expressed a desire to narrow the specification ranges given and also to increasingly use carcasses heavier than 21kg to supply bone‐less lamb. A two market scenario, one for medium sized lambs to supply bone‐in cuts and the other for heavier, lean carcasses to supply the boneless lamb, may develop in the long term. The results of this study form a useful basis on which to decide on suitable objectives for genetic improvement programs for sheep breeds, which can be used to help lamb producers meet the requirements of current and likely future markets.