A Survey of Recent Abstract Summarization Techniques von Puspitaningrum, Diyah

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Social Influences in Recommendation Systems von Puspitaningrum, Diyah

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Improving Performance of Relation Extraction Algorithm via Leveled Adversarial PCNN and Database Expansion von Puspitaningrum, Diyah

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A Survey of Recent Abstract Summarization Techniques von Puspitaningrum, Diyah

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cSELENE: Privacy Preserving Query Retrieval System on Heterogeneous Cloud Data von Puspitaningrum, Diyah

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A Survey of Recent Abstract Summarization Techniques von Puspitaningrum, Diyah

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Konversi Citra Kartu Nama ke Teks Menggunakan Teknik OCR dan Jaro-Winkler Distance von Putri, Dewinta Zulhida, Puspitaningrum, Diyah, Setiawan, Yudi

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The Analysis of Rank Fusion Techniques to Improve Query Relevance von Puspitaningrum, Diyah, Pagua, Jeri Apriansyah, Erlansari, Aan, Fauzi, Fauzi, Efendi, Rusdi, Andreswari, Desi, Prasetya, I.S.W.B.

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PENGANTAR JARINNGAN SARAF TIRUAN von Puspitaningrum, Diyah

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cSELENE: Privacy Preserving Query Retrieval System on Heterogeneous Cloud Data von Puspitaningrum, Diyah

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Improving Tag Recommendation Using Few Associations von van Leeuwen, Matthijs, Puspitaningrum, Diyah

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Mining Databases to Mine Queries Faster von Siebes, Arno, Puspitaningrum, Diyah

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An MDL-Based Frequent Itemset Hierarchical Clustering Technique to Improve Query Search Results of an Individual Search Engine von Puspitaningrum, Diyah, Fauzi, Susilo, Boko, Pagua, Jeri Apriansyah, Erlansari, Aan, Andreswari, Desi, Efendi, Rusdi, Prasetya, I. S. W. B.

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Finding Local Experts for Dynamic Recommendations Using Lazy Random Walk von Puspitaningrum, Diyah, Fernando, Julio, Afriando, Edo, Utama, Ferzha Putra, Rahmadini, Rina, Pinata, Y

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METRIC UNTUK MENGEVALUASI SOFTWARE BERDASARKAN PADA HASIL-HASIL EKSEKUSI KASUS von Puspitaningrum, Diyah

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SIKLUS PEMBANGUNAN APLIKASI JARINGAN SARAF TIRUAN von Puspitaningrum, Diyah

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Analysis of Image Transformation and Land Use/Land Cover for Temperature Trends on Landsat Imagery von Hidayati, Iswari Nur, Rahmi, Khalifah Insan Nur, Kristian, Gerry, Fikiyah, Vidya Nahdhiyatul, Puspitaningrum, Diyah

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Highly Relevant Routing Recommendation Systems for Handling Few Data Using MDL Principle and Embedded Relevance Boosting Factors von Puspitaningrum, Diyah, Prasetya, I. S. W. B, Wicaksono, P. A

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Highly Relevant Routing Recommendation Systems for Handling Few Data Using MDL Principle and Embedded Relevance Boosting Factors von Puspitaningrum, Diyah, Prasetya, I. S. W. B, Wicaksono, P. A

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Improving tag recommendation using few associations von van Leeuwen, Matthijs, Puspitaningrum, Diyah

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