In a previous article (Rahman, Guns, Rousseau, and Engels, 2015) we described several approaches to determine the cognitive distance between two units. One of these approaches was based on what we called barycenters in N dimensions. The present note corrects this terminology and introduces the more adequate term ‘similarity-adapted publication vectors’. Furthermore, we correct an error in norma...

The paper proposes new measures of difficulty and discriminating values binary items test consisting such find their relationships including estimation error variance thereby the reliability, as per definition using cosine similarities. use entire data. Difficulty value item is defined function angle between observed score vector maximum possible vector. Discriminating an are taken coefficient ...

Keterampilan setiap jenis pekerjaan harus disiapkan sejak mahasiswa berada di jenjang pendidikantinggi. Jenis dan ketrampilan pendukungnya menjadi salah satu landasan bagi programstudi dalam menyusun peminatan mata kuliah sesuai kebutuhan indsutri. Sehingga program studimembutuhkan pedoman untuk kurikulum yang dengan industri.Penelitian ini bertujuan melakukan klasifikasi bidang Teknologi Infor...

Technological developments have grown rapidly without exception in the world of education. The development technology field education can be seen by number information systems used for learning process. online process has many obstacles, especially when exam is being conducted. Not all educators conduct exams utilizing technology. One most difficult essay exam. that was conducted experienced ob...

During the thesis writing process, role of supervisor is needed so that completion timely quality maintained. One problems in determining for undergraduate computer science at Bumigora University subjectivity head study program supervisor. Not only that, selection process supervisors done manually it can take a long time and slow down student work. Students' work will be late not on if topic ac...

A query classification system for NTCIR-10 1CLICK-2 is described in this paper. The system classifies queries in Japanese and English into eight predefined classes by using support vector machines (SVMs) for classification. Feature vectors are created based on snippet similarities instead of snippet word frequency. These vectors, which have fewer dimensions than those made from raw words, redu...