Clustering of Web Users Using Session-based Similarity Measures

One important research topic in web usage mining is the clustering of web users based on their common properties. Informative knowledge obtained from web user clusters were used for many applications, such as the prefetching of pages between web clients and proxies. This paper presents an approach for measuring similarity of interests among web users from their past access behaviors. The similarity measures are based on the user sessions extracted from the user\u27s access logs. A multi-level scheme for clustering a large number of web users is proposed, as an extension to the method proposed in our previous work (2001). Experiments were conducted and the results obtained show that our clustering method is capable of clustering web users with similar interest

Potential biomarkers for the early detection of bone metastases

The clinical manifestations of bone metastases are diversified while many sites remain asymptomatic at early stage. As the early diagnosis method is not perfect and the early symptoms of tumor bone metastasis are not typical, bone metastasis is not easy to be detected. Therefore, the search for bone metastasis-related markers is effective for timely detection of tumor bone metastases and the development of drugs to inhibit bone metastases. As a result, bone metastases can only be diagnosed when symptoms are found, increasing the risk of developing skeletal-related event (SREs), which significantly impairs the patient’s quality of life. Therefore, the early diagnosis of bone metastases is of great importance for the treatment and prognosis of cancer patients. Changes of bone metabolism indexes appear earlier in bone metastases, but the traditional biochemical indexes of bone metabolism lack of specificity and could be interfered by many factors, which limits their application in the study of bone metastases. Some new biomarkers of bone metastases have good diagnostic value, such as proteins, ncRNAs, circulating tumor cells (CTCs). Therefore, this study mainly reviewed the initial diagnostic biomarkers of bone metastases which were expected to provide references for the early detection of bone metastases

Corrosion Inhibition on Mild Steel by Phosphonium Salts in 1M HNO3 Aqueous Medium

The corrosion inhibition on mild steel by phosphonium salts in 1 M HNO3 medium has been investigated by weight loss and polarization techniques. The result revealed that these derivatives are excellent inhibitors. Potentiostatic polarization, impedance and electrochemical noise studies showed mixed type inhibitors. Ellipsometer, quantum chemical and FTIR results indicated Phosphonium bromide derivatives exhibit excellent corrosion protective thin layer performance

A boolean algebra approach for class hierarchy normalization

Normalization in object-oriented design is much different from that in relational database design. Not only are the conceptual data model of object-oriented (o-o) models integrating richer structuring capabilities than that of relational models, but also the dependency constraints, attribute ranges and access paths in o-o models are more complex than that in relational models. In o-o models, inheritance semantics is expressed mainly by class hierarchy, and it is important to ensure and maintain an appropriate class hierarchy. In this paper, we propose a Boolean algebra approach for class hierarchy normalization. A class hierarchy normal form(CHNF) and an indexing model for class hierarchy are defined respectively. Some methods and algorithms, such as transformation from a non-CHNF class hierarchy to a CHNF one, are given

オンキョケツチュウ ノ ホスホジエステラーゼ 3 ソガイザイ ノ キュウニュウ ワ ハイ ノ キョケツ サイカンリュウ ショウガイ オ ケイゲンスル

京都大学0048新制・課程博士博士(医学)甲第14866号医博第3381号新制||医||977(附属図書館)27288UT51-2009-K662京都大学大学院医学研究科外科系専攻(主査)教授 小池 薫, 教授 福田 和彦, 教授 三嶋 理晃学位規則第4条第1項該当Doctor of Medical ScienceKyoto UniversityDA

Measuring Similarity of Interests for Clustering Web-Users

There has been an increased demand for understanding of web-users due to the web development and the increased number of web-based applications. Informative knowledge extracted from web user access patterns has been used for many applications, such as the prefetching of pages between clients and proxies. This paper presents an approach for measuring similarity of interests among web users, based on the interest items collected from web user's access logs. A matrix-based algorithm is then developed to cluster web users such that the users in the same cluster are closely related with respect to the similarity measure. As an application example, a web document pre-fetching technique is proposed that utilize the similarity measure and clusters obtained. Experiments have been conducted and the results have shown that our clustering method is capable of clustering web users with similar interests, and the prefetching method is practical. 1

A declustering algorithm for minimising spatial join cost

Spatial joins are important, yet time-consuming operations in spatial databases. In this paper we consider to minimise the I/O cost for the spatial join processing. A graph model is proposed to formalise the cost, and an algorithm originally proposed for distributed database design is adapted for spatial object declustering. We improve the algorithm by giving special consideration to the clusters with overlapped objects. Our algorithm can not only reduce the number of objects fetched from disk for refinement processing, but also be computationally more efficient than the previous algorithms