IEEE Transactions on Knowledge and Data Engineering (TKDE) is a distinguished international journal in databases and data mining and analysis, ranked first or second in the world in citations, impact factor and field rating.

The paper, titled 'An Effective Clustering Method over CF+ Tree Using Multiple Range Queries', proposes the CF+ tree, which optimizes the CF tree structure of the well-known clustering technique BIRCH, and on that basis proposes an effective clustering algorithm based on range query processing that performs clustering very quickly while improving the precision and recall of the clusters found. To demonstrate the merits of the work, experiments were conducted using a variety of synthetic and real data, showing high cluster precision and recall together with fast clustering speed across these varied datasets.

The research was conducted as an international collaboration with Michigan State University (co-author: Prof. Sakti Pramanik).